Architect, Analytics Resume Samples

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D Buckridge

Dashawn

Buckridge

104 Polly Row

Chicago

+1 (555) 857 5088

104 Polly Row

Chicago

Phone

p +1 (555) 857 5088

Experience Experience

Boston, MA

Analytics Solution Architect

Boston, MA

Kreiger-Okuneva

Boston, MA

Analytics Solution Architect

Commercially shapes deals based on business benefit to client rather than actual cost to complete (value based pricing)identifying risk/reward opportunities and developing business cases to work with clients in new and different ways to mutual benefits
Consults and shapes development of the client’s approach to identifying and managing risks and assumptions and for realizing benefits at a department level
Clients are typically C-level managers and IT managers. Can combine multiple consulting assignments and create new consulting frameworks for delivery
Designing and developing the data analytics solutions working closely with the Information Management team, Data Science team and Business Partners
Creates a framework of motivation and up to date knowledge
Leads board level visioning sessions providing thought leadership to client
Provides pieces of advices on any new technology in the market

Detroit, MI

Digital Analytics Solution Architect

Detroit, MI

Mante, Witting and Harber

Detroit, MI

Digital Analytics Solution Architect

Manage the delivery of custom solutions, interfaces, and integrations, leading a team and/or working with a Slalom project manager
Provide hands-on, expert-level assistance to analysts, configurators, and other team members
Deliver management consulting solutions to leaders in marketing, digital, and sales
Manage project scope and client expectations
Lead business and technical design sessions; work with other Slalom architects to design and document solutions that are aligned with client business objectives
Collaborate with Slalom team members and clients, promote a fun and supportive work environment
Coach and mentor junior consultants; own responsibility for ongoing development of team capabilities in the digital space

present

San Francisco, CA

End User Analytics, Technical Architect

San Francisco, CA

Schroeder, O'Kon and Simonis

present

San Francisco, CA

End User Analytics, Technical Architect

present

Create and maintain documentation specific to monitoring tools, on-boarding procedures, and data mapping/relationships
Keeps abreast of latest trends and developments
Provide technical oversight to infrastructure, application and project teams to ensure monitoring solutions are built/implemented as designed
Proficiency in Python, PERL, Shell Scripting and macro’s
Lead efforts to audit and remediate any gaps in the monitoring tools
Advanced to Expert knowledge in various Monitoring tools
Participate in product vendor selection, proof of concepts, and planning discussions to ensure decisions include consideration of End to End monitoring views

Education Education

Bachelor’s Degree in Computer Science

University of Southern California

Bachelor’s Degree in Computer Science

Skills Skills

Highly numerate individual and ability to work independently
Ability and experience in user acceptance testing processes
Strong experience in successfully managing, leading and delivering multiple project simultaneously through effective task prioritisation
Strong track record of managing small teams of analysts in the delivery of customer analytics outputs
Advanced level of PostgreSQL, Python, and good level of Redshift
Good understating of data structures, databases and query optimisation/best practice
Strong experience in spatial analysis and geoprocessing
Ability to listen interpret feedback, and provide insights into the broader business
Strong experience in dealing with a wide range of stakeholders
Proficiency in statistical methods and techniques

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Analytics Solutions Architect Resume Examples & Samples

60% -- Marketing, Sales, Business Development, and Solutions/Product Management
Experience as an analyst, solution architect, technical lead in a business development, product development, delivery or operations organization in support of healthcare reporting and data analytics
Understanding of Health Program Management analytics used measure health outcomes across multiple healthcare programs
A strong understanding of the ancillary systems (e.g. MMIS, PBM, EMR, etc) that support healthcare business operations and ultimately feed a common data warehouse/decision support system
A strong understanding of Medicaid reform and the national shift towards managed care within Medicaid programs
Experience working in large enterprise-wide projects and big data following a variety of methodologies, such as Agile, or more structured SDLC processes and tools (such as requirements, testing, and configuration management tools)
Business Intelligence experience with business intelligence and data visualization tools (e.g., Cognos, Business Objects, Microsoft, Pentaho, QlikView, Tableau, etc.)
Experience in working with ETL tools such as Informatica, Talend, Microsoft SSIS, etc
Experience in working with data models and other relational, dimensional statistical, and predictive modeling; and participating in modeling exercises and reviews
Experience in working with and implementing data governance policies and validating implementation of such policies
Experience in writing sales/marketing/proposal -related materials, business and functional requirements, specifications, procedures, and manuals
Experience in conducting presentations/demonstrations/walkthrough/training through a variety of training mediums including; PowerPoint presentations, Cheat Sheets, and User Manual for both live and remote training
At least two years’ experience with Microsoft Office products
At least 2/3/4(?) years’ experience working in a healthcare technology IT environment or equivalent education experience

End User Analytics, Technical Architect Resume Examples & Samples

Participate in product vendor selection, proof of concepts, and planning discussions to ensure decisions include consideration of End to End monitoring views
Collaborate with internal teams to align tools to data elements and data aggregation
Create and maintain documentation specific to monitoring tools, on-boarding procedures, and data mapping/relationships
Provide technical oversight to infrastructure, application and project teams to ensure monitoring solutions are built/implemented as designed
Must be detail-oriented, proactive, responsible and demonstrate an ability for getting the job done
Must have excellent written, verbal communications and presentation skills with experience providing communication to C- level executives
Broad knowledge of advanced environment monitoring & management tools, performance modelling tools, capacity analysis tools, and other advanced modelling and trending tools
Experience in designing, building, implementing, and supporting Monitoring tool solutions
Advanced to Expert knowledge in various Monitoring tools
APM tools (DynaTrace, AppDynamics, Logi, vCOPs)
Synthetic or UE tools (, LoginVSI, BSM/Topaz)
Data visualization / analytics tool sets (Splunk, ElasticSearch)

IBM Analytics Saas Enablement Architect Resume Examples & Samples

At least 5 years experience in software development or infrastructure management
At least 2 years experience in Cloud, SaaS, or related competencies
Basic knowledge in cloud computing

Information Analytics Solution Architect Resume Examples & Samples

Assists in the product knowledge & development activities of other team members within Information Analytics area
Promote the use and best practices of Information Analytics software. Establishes and defines the use of new product functionality best practice. Sources best practices and conducts internal R&D in the pursuit of new product implementation innovation
Actively keeping up-to-date with knowledge of new release and product within the Information Analytics area
Actively contributes knowledgeable to team discussions based the accumulated experience either in business processes the Information Analytics area

Advanced Analytics GTM Enterprise Architect Resume Examples & Samples

Partnering with key Area Services and Sales team stakeholders to develop, lead and execute on an appropriate strategy for successful Digital Transformation/Data Analytics engagements across target customers
Leading solution selling presales workshops with Business Decision Maker (BDM) and Technical Decision Maker (TDM) audiences to accelerate the opportunity pipeline and ensure a Microsoft solution is preferred by the customer
Providing field and customer guidance during product and services sales cycle
Business case development that defines, tracks and reports accrued value through the optimal application of Microsoft Analytics assets and cloud platform to business challenges, resulting in the successful adoption of our Products and value realization for customers
A degree in Computer Science or Engineering, or equivalent work experience
Strong related Analytics Solutions experience of working for or with Enterprise customers
Work experience should involve technology consulting, consulting and solution presales, solution design, envisioning, planning, deployment, benefits analysis and management
Must have proven background in selling, designing and implementing analytics systems that underpin Digital businesses
Solid understanding of competitive analytics platforms and databases, interoperability issues and the strengths and weaknesses of platforms and products
Able to provide a trusted voice at the decision-making table
Executive-level interpersonal, verbal, written and presentation skills
Ability to communicate and write with clarity and simplicity

Analytics Solutions Architect Resume Examples & Samples

Strong knowledge of current and future federal (such as CMS) requirements, rules and
Experience as an analyst, solution architect, technical lead in a business development, product
Team Player – Candidate must function well in a geographically dispersed and remote team

EE Solution Architect for Ericsson Expert Analytics Resume Examples & Samples

Experience from technical roles focusing on integration and delivery is a required experience, e.g. experience from work as Integration engineer
IP Network Design experience required
Basic knowledge in Python, Java, Scala and Bash Scripting
Basic knowledge in OLAP database (Green Plum or Drill) and RDBMS (Postgres)

Solution Architect IM / Analytics Resume Examples & Samples

5 -10 + years Solution Architecture / Design experience within information management, data warehousing, data integration or business intelligence environments
Hands on experience in full project life cycle development projects
Familiarity with latest trends in analytics and data warehousing concepts (data vault highly desirable)
Varied industry experience such as banking, finance, insurance, telco, government, FMCG etc

Analytics Solution Architect Resume Examples & Samples

Experience in Solutioning for Analytics domain
Should be able to propose the sales pursuit strategy including business proposals
Strong understanding of Statistical modeling
Hands on experience working on SAS/SPSS/R
Experience on Risk/F&A/Telecom domain would be an added advantage

Specialist IS Architect Information Management & Analytics Resume Examples & Samples

3-5 years of experience working on search platforms and web-application development
IBM Content Analytics
With Solr/Lucene, Elasticsearch
Google Search Appliance
SharePoint2013
Attivio
Document Repositories (EPIC, EDM, SharePoint)
File Shares
Databases (structured data)
NoSQL databases (Hbase/MongoDB/Neo4j)
Cloud/External sources – Box, PubMed, Yammer, O365 etc

Enterprise Architect / Analytics Platform Resume Examples & Samples

Requires Bachelors degree in related field
8 years of experience in architecture/design in relevant technology disciplines; or any combination of education and experience, which would provide an equivalent background
MS/MA degree preferred
Cross-functional knowledge (e.g., strategy, change management, business process management
3-5 Years with Hadoop Cloudera/Hortonwerks
5-7 years Service Orientated Architecture
5-7 Healthcare
5-7 Exploratory Data Discovery/Scientist
Must be able to translate to capabilities that can be operationalized and scale
Technology Roadmap
Estimations
Cost Benefit Analysis for new technologies
Ability to lead and drive POC for new technology acquisition
No SQL

Analytics Implement Architect Resume Examples & Samples

Bachelor’s degree in Computer Science, Applied Mathematics or related field
5+ years IT development experience
2+ year’s specific experience designing and/or deploying Big Data solutions
2+ year’s specific experience with Big Data vendors such as Hortonworks, Cloudera, MAPR

Business Intelligence & Predictive Analytics Enterprise Architect Resume Examples & Samples

Support technical presales activities requiring advanced skills in the area of Business Intelligence and Predictive Analytics
Install and Configure the Cognos and SPSS products for Proofs of Concept (POCs), and other situations requiring local resource assistance
Provide RFP/RFI/RFQ support
Maintain enterprise architecture diagrams as they relate to primary product responsibilities and other software brands within IBM Analytics
Assist IBM Technical Support in resolving deep dive customer technical issues
Assist customers with IBM Cloud Software as a Service (SaaS) deployments
Assess hardware sizing and scalability requirements for software proposals
Provide technical expert advice in the area of performance and tuning to the customer base
Provide demonstrations and presentations of the IBM Cognos and SPSS software as required
At least 3 years experience with IBM Cognos Business Intelligence and/or IBM Cognos Analytics
At least 3 years experience with the IBM SPSS product line, including SPSS Modeler, Statistics, Analytics Server and Modeler Server
At least 2 years experience in software technical sales
At least 2 years experience in delivering professional demonstrations or presentations
At least 2 years experience in OLAP database / data modeling skills
At least 2 years experience in relational database technology
At least 1 year experience in non-relational technologies, such as Hadoop and other unstructured data sources
At least 2 years experience in the use of statistical algorithms
Four year Bachelor’s Degree

Analytics Channel Architect Resume Examples & Samples

Engage with Business Partners assigned to them and work with them on Solution Discovery and to align IBM product solutions and offerings to address their needs
Clearly articulate IBM’s value and differentiators, while enabling and supporting Business Partner Services and Solutions
Plan, develop, and host meetups, trainings, and other customer-facing events that highlight specific solutions, outcomes, and industry examples of IBM’s solution platform
Work with partners and help define, architect, and enable turn-key, semi-custom, and completely bespoke solutions for their customers
Help IBM business partners through enablement, support and architecting of potentially challenging and complex solutions leveraging IBM products
Lend your technical expertise to build demos, research and test scenarios, create sample applications and other code, and use presentations to illustrate outcomes
Build a relationship with partners and advocate and enable their adoption of the complete IBM analytics portfolio including on-prem, cloud and hybrid architectures
Experience architecting, developing, or maintaining production-ready solutions with preference given to analytics and LOB reporting/data science environments
Experience with Enterprise application integration patterns and architectural considerations
Experience with Open Source Technologies and standards and emerging solutions in the analytics and cloud markets
Experience with networking and web standards such as DNS, DHCP, TCP/IP, HTTP, web security mechanisms, proxies, firewalls, load balancers
Understanding of emerging and established Cloud Platforms and Architecture concepts (IaaS, PaaS)
Have a solid understanding of the concepts, architectures, and deployment methodologies around private, public, hybrid and peer clouds
Familiarity with object oriented and functional programming concepts and methods
Familiarity with Database SQL and RDBMS concepts and ability to write queries in T-SQL
Familiarity with NoSQL databases like HBase, CouchDB, Cloudant, Cassandra and MongoDB
Familiarity with operational practices including DevOps, ITIL, SixSigma, and agile
Excellent time management, written, and oral communication skills
Team first mindset with an ability to lead and provide mentorship to other team members
Hands-on Spark, Hadoop, and Open Source analytics technologies such as Kafka, Quarks, Spark Libs, Ranger, Atlas, ElasticSearch, HIVE, HBase
Experience in writing software in one or more languages such as Python, Ruby, Java or similar
Hands-on experience working with REST API architectures and web services
Experience with Continuous Integration, source control, and versioning tools (Github, Jenkins)
Working knowledge of virtualization frameworks like Xen, VMWare, docker, kubernetes, etc…
Familiar with modern web infrastructure technologies, virtualization, clustering, load-balancing and content delivery networks
Practical Implementation and/or maintained system automation technologies (Chef, Puppet, Ansible, Salt, etc)
Experience with system and application performance measurement and troubleshooting tools
An understanding of network engineering and security principles (e.g. protocols, routing, switching, VLAN, filtering, firewall rules, VPN, encryptions, etc.)
At least 1-2 years’ experience in Developing solution requirements and making architectural decisions
At least 1-2 years’ experience in designing, architecting and implementing solutions in large and complex requirements
Basic knowledge in leading architectural discussions and solution design
Understanding of the emerging analytics technology space including Hadoop, Spark, and other analytics ecosystem tools
Bachelor's Degree in Information Technology or equivalent experience
At least 3 years’ experience in Enterprise IT/Technology or related discipline
At least 3 years’ experience in Leading architectural direction
3 years of increasing responsibility in a technical and architectural role

Analytics Partners Architect Resume Examples & Samples

Deliver Teradata Advanced Analytics expertise, deep dive strategy sessions, thought leadership and technical integration solutions to ISV partners and customers
Contribute to the technical vision and the Teradata corporate analytic product development strategy
Architect and implement advanced development/prototype development that illustrates in-database processing across Teradata’s Unified Data Architecture (UDA)
Actively lead and mentor Partner Integration Lab members on Advanced Analytics technologies and best practices
Develop Best Practice documentation/whitepapers and Optimization “Tips/Techniques” on integrating Advanced Analytic software solutions into Teradata’s UDA
Assist with Database Administration activities of PIL UDA systems, including setup and configuration of Hadoop and Aster systems
Effectively manage relationships with ISV Advanced Analytic partners by working with key internal and external processes and organizations (Alliance Marketing, Engineering, Product Management, Professional Services, Account Teams and Product Marketing)
Assist Field teams with Benchmarking and POC activities related to ISV Advanced Analytic partners
Exceptional consulting skills in communicating, establishing of strategic direction, influencing others, facilitating and managing meetings with many different internal and external groups throughout Teradata and partner/customer organizations
Comfortable interacting and presenting to a wide range of internal and external technical and executive management
Hands-on software development experience with Teradata, Aster, Hadoop and other analytics frameworks and platforms. Previous experience with configuration and administration of Hadoop and Aster systems a plus
Proficient in relational database design, Teradata SQL and extensibility features including User Defined Functions/Types/Table Operators
Proficient knowledge of Hadoop Map-Reduce and Aster SQL-MR. Ideal candidates will also have a working knowledge of advanced analytic open source software projects such as H20, Anaconda, Spark-MLib, Mahout, Presto, Teradata Listener, etc
Strong working knowledge of mathematical, statistical and machine learning techniques. Ideal candidates will also have a working knowledge of predictive analytic techniques such as regression, decision tree, neural network and clustering algorithms
Proficient in the R and Python scripting languages; knowledge of SAS. Ideal candidates will also be proficient in C++ and/or Java
Self-motivated and adept at learning and applying new technologies

Analytics Channel Architect Resume Examples & Samples

At least 3 years’ experience in Developing solution requirements and making architectural decisions
At least 3 years’ experience in designing, architecting and implementing solutions in large and complex requirements
5 years of increasing responsibility in a technical and architectural role
At least 5 years’ experience in Enterprise IT/Technology or related discipline
At least 5 years’ experience in Leading architectural direction

Solutions Architect Analytics Solutions Resume Examples & Samples

Big Data eco system, Hadoop, Spark, noSQL databases, analytics databases, Cassandra, Impala, Vertica
Programming skills in the any of the above mentioned products
Data design and database management
Algorithm design
Reporting tools, Tableau, Qlik, Pentaho, or similar
Programming skills, python, java, ruby, go, scala
Basic knowledge of WiFi networking, Ethernet and IP networking
WiFi analytics system, real time location systems, wayfinding
Operating systems, Linux, Windows server
Network management tools
Webservices interfaces
Security in the Analytics
Analytics architectures applied to IoT
Cloud computing, AWS, Google Cloud, Azure

Senior Analytics Developer / Assoc Architect Resume Examples & Samples

Manage all aspects of a technical roadmap, including platform requirements and support for Analytics projects
Develop the solution architecture for complex projects to integrate and implement analytical solutions in technologies like Hadoop and R/T cloud based micro services
Partner with internal teams and vendor partners to provide technical leadership in order to develop and support effective Analytical solutions
Work extensively with Business users to understand their needs and processes, delivering tactical and strategic solutions to add value through business intelligence
Hands on experience with Java and/or python programming language
High level idea and interest in various statistical and machine learning algorithms
Extensive knowledge of analytics best practice processes, tools, standards, and practices
Demonstrated expertise in Analytical strategy and roadmap development and implementation
Minimum of 3-4 years IT experience in software systems with focus on Programming in Web technologies with a strong exposure and interest in Analytics
4-5 year degree

Software Architect Analytics Engine Resume Examples & Samples

Design and develop key features for the Analytics Execution Engine, with focus on scalability and performance on a MPP system
Technically lead a team engineers through the product lifecycle, including architecture, development, product support issues, beta testing, bug fixes, etc
As part of the team, review proposed designs to ensure that they conform to the product architecture
Work with other teams to define cross component dependencies
In-depth understanding
MS/PhD degree in computer science/engineering or related field
10+ years of related experience
Our total compensation approach includes a competitive base salary, 401(k), strong work/family programs, and medical, dental and disability coverage

Analytics Solution Architect Resume Examples & Samples

Designing and developing the data analytics solutions working closely with the Information Management team, Data Science team and Business Partners
Evaluating and developing new Proof-of-Concept technologies and solutions that may be applicable to the business function
Business partnering with the Business and IT Business Partners; providing training and consultative services
Minimum of 5 years of experience in BI & Analytics Solution Architecture
Expert in Business Intelligence and Analytics architectures and technologies
Expert in designing solutions for large data warehouses using distributed architectures

B.I & Analytics Technical Architect Resume Examples & Samples

Continuously evaluating industry trends (BI, Analytics, Big data,…) for opportunities to utilize new technologies and data sources for BI improvement, and propose strategies to the B.I. Management team to implement these enhancements in the BI environment
Collaborating with functional teams including, but not limited to, requirement reviews to define solutions or alternatives according to the business need and technological capabilities/limitations 
Having or acquiring the knowledge to match business needs with appropriate technologies, with an ability to negotiate, provide alternatives or reject business requests if no suitable technological solution available 
Executing analysis, planning, right technology selection, prototyping, designing, developing, deploying, and assisting in end-user training of BI solutions to the user community for projects, changes and maintenance & evolutions 
Providing leadership, technical guidance, training and mentoring to others in areas of acquired/assigned expertise, including external consultant partners – knowledge sharing is key to our success 
Producing guidelines and standards for B.I. implementation for both ETL & Reporting usage, manageability and maintainability within the organization 
Having responsibility for the efficient application of current and appropriate emerging technologies in the development of quality products within the constraints of time and budget 
Influencing technical and business members at different levels of the organization to ensure data models align to strategic objectives, considering current need and future potential 
Promoting BI benefits to the organization and usage of our tools to relevant business groups. 
Following all standard SDLC processes and producing required documentation 
Leading with ease 'proof of concept' initiatives from inception to completion from a technical standpoint, making recommendations to management with prioritized alternatives
Staying abreast of industry standard and cutting edge technologies through whitepapers, vendor-based collaboration and literature, and technical newsgroups – sharing their research with all members of the Enterprise B.I. team and extended community through our internal collaboration tools (BOX, SPICE, Collaborative Site) and frequent presentations
Bachelors Degree in MIS/Engineering/Computer Science
Masters in Business domain an advantage
Data Warehousing/B.I. Certifications a plus
3+ years working in an IT function
3+ years of B.I. development and support experience with at least
1+ year in evaluating industry trends / tool comparison and recommendation
Ability to communicate effectively, both verbal and written; excellent presentation skills
Ability to effectively move forward on tasks even with ambiguous or changing requirements
Ability to work in a team-oriented, collaborative environment in a global context
Willingness and ability to train and teach others
Strong systems/process orientation with demonstrated analytical thinking, organization skills and problem solving skills

Solution Architect, Analytics Resume Examples & Samples

8+ years of experience working with large volumes of medical data. Knowledge of Machine Learning, probabilistic models, healthcare HCFA & UB04 data elements
Knowledge of healthcare claims processing platforms
Knowledge of healthcare claims editing systems for correct coding
Knowledge of standard industry coding systems such as CPT, ICD-10, and UB04 Codes
3+ years working within data structures to build advanced, big data focused analytics. 5+ years of experience in various data base structure such as relational, graphs, noSQL, etc
5+ years of experience developing models using modeling language such as R or SAS with experience in Artificial Intelligence such as neural networks, Bayesian networks, and machine learning
Experience with Tableau and other visualization tools
Advanced knowledge of Excel or other data manipulation methods (Pivot Tables, Macro's, V Lookups, queries, advanced written formulas)

Information Management & Analytics Solution Architect Resume Examples & Samples

Work as part of a team, to design and develop data architectures in on-premise, cloud and hybrid platforms
Lead analysis, architecture, design, and development of data warehouse and business intelligence solutions
Define data strategy, including designing multi-phased implementation roadmaps
Participate in MDM and Governance planning and workshops from the POV of data architecture and flow
Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights
Actively contribute to the Cloud and Big Data community at Slalom, and drive new capabilities forward
Mentor other team members in their efforts to build data architect skillsets
Assist business development teams with pre-sales activities and RFPs, including helping estimate and plan projects
5+ years of data architecture, business intelligence and/or consulting experience
Proficiency in SQL, NoSQL, and/or relational database design and development
Proficiency and hands-on experience with big data technologies
Experience on any of the cloud platforms (Amazon Web Services, Azure, and Google Cloud)
Hands-on ETL/ELT development using and migrating data to cloud platforms
Experience in languages such as Python, Scala, Java, C#
Proficiency with both Linux and Windows
Passionate about learning new technologies
Experience with data mining techniques and working with data-intensive applications
Cloud platform certifications are preferred

Business Intelligence & Analytics Solution Architect Resume Examples & Samples

5+ years demonstrated advance proficiency in SQL development methodologies
Design and delivery of enterprise data warehouse analytics
Design and delivery of large-scale, high-performance data transformation and storage systems
Developing technical requirements based on business requirements
Defining and managing the full development lifecycle to meet client needs
Patterns and Best Practices in data warehouse design (Kimball, Inmon, etc.)
Patterns and Best Practices in Extract, Transform, and Load Design and Development
Industry (Insurance) and functional (e.g. Finance, Sales, Marketing, Logistics, HR, etc.) expertise

Solution Architect for Ericsson Expert Analytics Resume Examples & Samples

Scope, define & design EEA delivery; driving end-to-end solution delivery
Develop technical presentations, proposals, and perform customer presentations
Strong Presentation & Communication skills
Good level of knowledge in Linux (RHEL) Administration
Basic understanding of Big Data Analytics
Basic understanding of Ericsson ARK framework
Basic understanding of virtualization
Basic knowledge in Hadoop ecosystem, HDFS (MapR), Zookeeper, Storm and Spark

Flow Analytics Senior Architect Resume Examples & Samples

Academic degree in computer science
Large experience as architect in in big data software systems , technology, best practices, design and implementation
Proven ability to provide technical leadership of large scale software products development from early concept stages to production
Expert level in OO design & development in Java
Experience in NoSQL databases such as couchbase, redis, mongo
Exceptional self-management, communication, organizational and problem-solving skills
Proven success in shipping products
Experience in AKKA– advantage
Experience Message queues – advantage
Independent/self-learner, motivated to prove oneself in the hi-tech world

Analytics Solution Architect Resume Examples & Samples

Expertise in business capabilities driven approach in architecture development
Excellent big picture view and ability to connect the dots in ecosystem
Expertise in IM, big data architecture and big data technologies in the market (various of Hadoop distributions, Couchbase, Qlik, MS BI etc.). Excellent understanding of key differences in distributions and technologies available
Strong customer centric approach with excellent organizational (with influence)skills
Self-motivated learner, with a fast-learning curve to acquire required expertise beyond big data technologies and architecture
Bachelor’s degree in the field of computer science, engineering, or equivalent relevant experience/ Master’s Degree preferred
10+ years analytics/IM working experience with 3+ years on big data architecture and enterprise scale implementation

Vertical Solutions Architect Analytics Analytics Specialist Resume Examples & Samples

Design compelling solutions for Data Analytics and Hadoop by leveraging Isilon products from the Dell EMC portfolio
Test and validate technology partner products with Isilon’s technologies to establish compatibilities and validated solutions
Drive thought leadership in the Data Analytics and Hadoop industry though multiple channels including industry events, creation of blogs, white papers, reference architectures, validated solutions, and similar influential means
Provide top-level subject matter expertise to the organization and strategic customers
Participate in the development of the overall Dell EMC Data Analytics and Hadoop strategy – including technology partner planning, technical integration and validation planning, sales enablement planning, and go-to-market planning
Work with Marketing to publish and highlight customer wins through case studies, PR, and social media
Create collateral which Emerging Technologies sales, Dell sales, Dell Channel Partners, ISV alliance partners can leverage to present the Emerging Technologies value proposition to their customers and prospects
Develop and manages long term technical and business relationships with strategic technology partners
Minimum 7 years’ experience working in the technology industry (analytics, data science, and related fields acceptable)
Expert understanding of technologies used in the Analytics and Hadoop ecosystem such as, SQL-on-Hadoop, HBase, HDFS, Hive, , Kerberized Hadoop,, Solr, Spark, Splunk, Virtualized Hadoop, YARN , and related technologies
Proficient understanding of technologies used in scripting and data mining such as BASH, Python, PHP, PERL, Java Script, UNIX Shell, Java, and related technologies
Adept with understanding technologies involved in ETL, ELT, ECL, Data Munging, and other similar data transformation and reporting techniques
Strong understanding of technologies needed distributed computing systems
Experience with administration of large scale RDBMS and/or data warehouse systems
Thorough understanding of how Analytics and Hadoop stacks map to various compute and storage hardware configurations, such as Direct Attached Storage, Network Attached Storage, etc
Expert with installing, optimizing, troubleshooting, and administering various Analytics and Hadoop software stacks
Exceptional critical thinking skills, willing to ask questions, determine root causes, offer solutions, and help resolve complex problems across a wide variety of hardware and software platforms
Adept with installation, configuration, optimization, and networking of various brand name blade and chassis based server platforms
Expert at installing, configuring, troubleshooting, and managing current versions of Microsoft Windows server, Unix and Linux server operating systems
Experienced with installation, configuration, and troubleshooting various Ethernet, InfiniBand, and Fiber Channel switches
Masterful at designing, configuring, and troubleshooting TCP/IP networks including DNS, DHCP, Routing, load-balancing etc
Ability to implement, configure, and troubleshoot Microsoft Active Directory, Kerberos and LDAP
Proficient with implementing, configuring, and troubleshooting virtual environments using VMware, HyperV, KVM, Etc
Knowledgeable with the various network protocols and APIs such as NFS, SMB, HTTP, FTP, S3, SWIFT, etc
Aptitude to successfully install and operate complex equipment and application software
Expert at building and presenting technical material
Proven ability to generate technical test plans, write technical documentation, describe workflows, and create precise technical illustrations
Able to leverage scripting where possible to automate and work smarter not harder

Application Architect, Prism Analytics Resume Examples & Samples

Foster best practices for the UI and Graphics team
Collaborate with other senior leaders in Workday and Prism Analytics
Build consensus / cross-team alignment for the technical direction for complex interactive user experience
Partner with management on work assignments
Be the liaison to with the broader UI/UX engineering organization; build relationships and bridges across teams; help communicate and represent Prism Analytics
Understand Prism functional requirements and work with engineers & stakeholders to map them to designs and architectural approaches
Work with eng leaders on work break down and implementation plans
Provide feedback to other engineers on their designs and implementation; including code reviews & code quality
Ensure approach to feature development is consistent across teams
Partner with engineering leaders to identify areas of risk and mitigation plans
Partner with other architects on Prism technical direction, especially UI Infrastructure Architect

Architect, Analytics Resume Examples & Samples

Design, build and maintain large-scale backend Zynga data tracking and game behaviour optimization products. Work closely with analysts and game studios for seamless integration
Mentor teammates at all levels, fostering an innovative environment where technical excellence, reliability, and measurability is nurtured
Guide implementation of major revenue-generating features in Zynga games using our data platform
Collaborate with technical teams on new and emerging technologies, determining how they will integrate into current and evolving infrastructure
Maintain an understanding of end-to-end system interactions and architecture in order to assess the implications and dependencies associated with design decisions
Proactively recommend improvements and new approaches to address potential systemic pain points and technical debt
Experience creating or integrating analytics & user acquisition platforms and APIs
Working knowledge of analytics landscape, architectures, trends, and emerging technologies
Proficient in a mixture of Java, Go, Python, PHP, SQL
Experience with big data & database development skills including SQL, a solid understanding of both relational and NoSQL database technologies
Experience with Vertica, MySQL, Spark and Hadoop is a plus
Experience with cloud environment like Amazon’s AWS
A strong foundation in Unix/Linux including the ability to diagnose and solve common problems
BS, MS in Computer Science, or related technical discipline (or equivalent)

Business Intelligence & Analytics Solution Architect Resume Examples & Samples

3+ years technical lead or management experience
Design and delivery of enterprise data warehouse
Design and delivery of systems to meet business requirements
Industry (e.g. Retail, Manufacturing, Transportation, etc.) and functional (e.g. Finance, Sales, Marketing, Logistics, HR, etc.) expertise

Digital Analytics Solution Architect Resume Examples & Samples

Deliver management consulting solutions to leaders in marketing, digital, and sales
Translate business objectives and marketing plans into well-designed solutions that best leverage digital platform capabilities
Recommend appropriate digital technology to support the customer’s needs end-to-end, including hosting and integration with existing technologies (CRM, marketing automation, analytics, etc)
Lead business and technical design sessions; work with other Slalom architects to design and document solutions that are aligned with client business objectives
Provide hands-on, expert-level assistance to analysts, configurators, and other team members
Demonstrate digital platform thought leadership
Conduct solution reviews to ensure the solution is best meeting customer needs during design and build phases. Adjust team direction as necessary in a collaborative fashion
Coach and mentor junior consultants; own responsibility for ongoing development of team capabilities in the digital space
8-10 years of business and technology experience; 5-6+ years at a traditional consultancy and/or digital agency
Digital and/or omni-channel marketing experience including building strategies and executing marketing campaigns
5+ years of DMP platform experience, including Salesforce DMP (Krux), BlueKai, Adobe Audience Manager, and others
5+ years of advanced analytics expertise, including marketing ROI, campaign optimization, web analytics, etc
Strong background in CMS, CRM, marketing automation, SEO
Base level understanding of audience targeting and segmentation, second party data, and online tagging

Salesforce Analytics Solution Architect Resume Examples & Samples

Scope, define and design Salesforce solution offerings; driving end-to-end technical solutions
Education: Salesforce Certification
Minimum years of experience: 2-5 years of experience with Salesforce products
Domain experience: area of expertise e.g. Cloud, BSS, OSS etc
A Solution Architect candidate is assessed according to the following tracks

Analytics & Insights Architect Resume Examples & Samples

Bachelor’s degree in Computer Information Systems or related Engineering discipline
At least 10 years’ experience in IT working with systems development life cycle (SDLC) processes including implementation of global, cross-divisional information and analytics solutions
3-5 years of hands-on Enterprise Architecture experience
Direct experience conducting architecture activities around two or more Enterprise data platforms
Experience partnering with senior leadership / executive level stakeholders to drive Information Architecture strategy at an Enterprise level
Experience working with diverse teams made up of business users, technical developers, and vendor resources in projects or aspects of projects
Experience working with Enterprise class analytics technology stacks e.g. Data Warehouse Platforms (e.g. Redshift, Netezza), Big Data Platforms (Cloudera, Hortonworks, MapR), Reporting Technologies (MicroStrategy, Cognos), etc

Business Analytics Solution Architect Resume Examples & Samples

5+ years of enterprise consulting experience, including implementation experience with one or more common enterprise software solutions (e.g
CRM, ERP, Business Analytics), filling positions of increasing responsibility and management of more junior resources
5+ years’ experience as a Data Analyst, Solution Architect, Functional Architect, Business Analyst or Consultant in a mid to large sizedorganization with demonstrated leadership driving an organizational transformation in a matrix organization
Exposure to key areas of enterprise architecture, including integration technologies, data management (governance, data quality, etc..) and masterdata management
Guiding customers and colleagues in rationalizing and deploying emerging technologies, that drive increased business value
Ability to apply multiple technical solutions to business problems, prove-out implementations with lightweight proof-of-concept code development, and estimate the financial impact of technology alternatives
Excellent interpersonal skills in areas such as collaborative co-development, teamwork, facilitation and negotiation
Ability to explain technical solutions to technical and non-technical teams
An attitude of positive determination and accountability

Analytics Solution Architect Resume Examples & Samples

Organizes and shapes an engagement team’s strategy to drive success in the IT area
Leads board level visioning sessions providing thought leadership to client
Leads IT design solution through all the Analytics team
Replicate solutions through all the organization, informing to the Analytics board team
Commercially shapes deals based on business benefit to client rather than actual cost to complete (value based pricing)identifying risk/reward opportunities and developing business cases to work with clients in new and different ways to mutual benefits
Advises at board level on Management of change/MOC/ strategies and implementation plans
Provides pieces of advices on any new technology in the market
Leads the IT solutions in Big Data environment
Creates a framework of motivation and up to date knowledge
Acts as a reference in the BI and Big Data market, supporting all the IT team
Builds and maintains significant alliances and support across the client’s business
Leads complex Management of Change (MOC) initiatives
Consults and shapes development of the client’s approach to identifying and managing risks and assumptions and for realizing benefits at a department level
Shapes and directs proposals describing the company solution and the associated value proposition
Ensures knowledge capture sessions are arranged and executed building company consultant collateral
Clients are typically C-level managers and IT managers. Can combine multiple consulting assignments and create new consulting frameworks for delivery
Balances long-term investments against profitability. Is a leader in the business planning process
Overall engagement portfolio potential $7M and above and/or Service based consulting account potential total contract value (TCV) $7M
Proven experience in BI and Big Data for more than 10 years (BI) and 3y (Big Data) designing architectures
Excellent knowledge of Big Data and BI technology and tools
Relevant Higher Degree
Lecturer experience and tech article writer is considered as an advantage
Certifications in any Big Data or BI tools is considered as an advantage

Architect, Cognitive & Analytics Resume Examples & Samples

At least 2 years of experience developing solution and technical architectures involving cognitive and/or advanced analytics, natural language processing, unstructured content analytics, and/or text mining solutions
At least 3 years of experience in designing/architecting and overseeing the implementation of business solutions utilizing cognitive computing, advanced analytics and big data
At least 1 year of experience in Artificial Intelligence programing – Google API.AI, TensorFlow, LEX, Nuance, neural networks, etc
At least 3 years of experience in Programming in object oriented languages like C, Java, .NET, Scala, etc
At least 2 year of experience with Enterprise Service Bus technology – Mule, Talend, IIB, or NodeRed
At least 2 years of experience in one or more of the following Industries:   Banking, Insurance, Financial Markets, Telco, Retail/CPG, Manufacturing, Oil and Gas, Professional Services, Public sector/Government
Responsibility for the full life cycle management of solution architectures for large enterprise information systems involving advanced analytics and / or cognitive computing
Experience deploying enterprise-grade solutions into public or private cloud environments
Deep understanding of one or more business process such as call center operations, supply chain management, mortgage loan application, insurance underwriting, risk management, or other
Hands-on experience working in collaborative dev/ops teams in the IBM Bluemix or equivalent cloud-based platform
Deep technical knowledge of big data technologies, REST and SOAP API standards, java, javascript, html5/CSS, and Python are a plus

Application Architect Input Analytics Resume Examples & Samples

Experience with Cognitive Input Analytics use cases in one or more dedicated industries preferably in insurance, banking, logistics or public sector
Proven experience with Input Analytics technologies, incl. capture and recognition (e.g. scanning, OCR/ICR and barcode)
Experienced programming skills, incl. C++ and Java
At least 5 years of experience in projects in an Input Analytics environment and in existing and emerging data capturing approaches
At least 3 years of experience in an IT architect role with a focus on technology integration

Analytics Solutions Architect Resume Examples & Samples

Manage ad hoc teams of analysts in the delivery of data outputs to meet client requirements and ensure that strong performance standards are maintained
Become an in-house expert in the delivery of advanced analytics solutions
Identify repeatable solutions and create best practice in order to improve analytics efficiency and to create automated strategic analytical frameworks
Plan and manage project resources in order to meet client deadlines
Design analytics methodologies to be implemented by the analysts in order to meet first-time client requirements
Take responsibility of couching and tutoring junior members of the analytics team
Ensure that robust quality assurance processes are followed for every client deliverable
Day to day account management, and manage client expectations, gaining crucial customer feedback and discovering detailed insights, feeding this into the product development process
Contributing to Go to Market Strategy to ensure that our strategy and tactics are the best in our industry
Help drive the development of innovative product solutions by proactively contributing input to the product development teams and ensuring that client feedback is included into the overall product roadmap
Strong experience in successfully managing, leading and delivering multiple project simultaneously through effective task prioritisation
Strong experience in spatial analysis and geoprocessing
Highly numerate individual and ability to work independently
Strong track record of managing small teams of analysts in the delivery of customer analytics outputs
Advanced level of PostgreSQL, Python, and good level of Redshift
Good understating of data structures, databases and query optimisation/best practice
Ability and experience in user acceptance testing processes
Ability to package data outputs into exciting and interesting value-driven insights and to clearly present these to clients
Strong experience in dealing with a wide range of stakeholders
Proficiency in statistical methods and techniques
Solid understanding of data and insight products and how these are used in client businesses to create value, capable of advising clients and being respected for this
Exceptional client-facing, communication and presentation skills
Ability to listen interpret feedback, and provide insights into the broader business