Architect, Data Resume Samples

4.8 (110 votes) for Architect, Data Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the architect, data job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Resume Builder
CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Create a Resume in Minutes
RJ
R Jaskolski
Rex
Jaskolski
290 Ankunding Mall
Chicago
IL
+1 (555) 925 9450
290 Ankunding Mall
Chicago
IL
Phone
p +1 (555) 925 9450
Experience Experience
Detroit, MI
Solution Architect Data Platform
Detroit, MI
Walker, Abernathy and Flatley
Detroit, MI
Solution Architect Data Platform
  • Design, coordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios and provide deployment guidance
  • Execute technical proposal for optimizing and modernizing identified workloads
  • Design, coordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios
  • Execute technical proposals for optimizing and modernizing identified workloads
  • Design data storage, movement, orchestration solutions and create rich visualizations
  • Document and share technical best practices / insights with engineering and the architect community
  • Design data platform mission critical solutions and migrations to the Microsoft data platform
Chicago, IL
Software Architect / Data & Technology
Chicago, IL
O'Conner, Jast and Fisher
Chicago, IL
Software Architect / Data & Technology
  • Provide status reports proactively and effectively to project manager
  • Working with international distributed software engineering teams
  • Review technical concepts and artifacts created in project
  • Opportunities for attending trainings abroad provided by international industry experts
  • Coordinate solution architecture with technical architects of other projects and enterprise architects
  • Align solution architecture with other corporate systems and applications
  • Contribute to the planning meetings, define goals together with the other responsible roles
present
Detroit, MI
Lead Risk Data Architect / Data Modeler
Detroit, MI
Russel Inc
present
Detroit, MI
Lead Risk Data Architect / Data Modeler
present
  • Serve as a Manager leading, mentoring, developing, recruiting and retaining high quality resources and subject matter experts on your team
  • Interact with Technology senior management committees and provide status, risk/issues reporting
  • Lead the Asia Data Modelers, Data Investigators and technology teams related to GFTS Data Management in the functional analysis, design and project planning
  • Manage team work slate to ensure timely delivery of artifacts on agreed timelines. Gather and report on all key metrics to determine effectiveness of the process, identify issues and look for improvements and
  • Assess the quality of data during development and test phases of the projects, and open trouble tickets when defects are found. Follow up with development teams to insure that issues are resolved expeditiously
  • Manage a team of Data Modelers and Data Mappers
  • Lead the Asia GFTS Data Management teams in the project execution, resolve any issues and risks that may arise during the course of the project
Education Education
Bachelor’s Degree in Related Field
Bachelor’s Degree in Related Field
Washington State University
Bachelor’s Degree in Related Field
Skills Skills
  • Strong proponent of data architecture as a discipline, evangelize data architecture and data modeling
  • Good communication and documentation skills
  • Understanding and experience with Oracle Exadata platform is desirable
  • Good experience with Oracle SQL
  • Very strong data architecture and modeling skills for all kinds of database (OLTP, data staging, integration/operational data stores, data warehousing)
  • Strong understanding of entity relationship modeling, conceptual and logical modeling, hierarchies, relationships, metadata, data lineage, reference data
  • Good understanding of Oracle database concepts such as databases, schemas, referential integrity, primary/alternate keys
  • Experience with healthcare data (either provider or payer)
  • Prior experience being based at a Client site on a day to day basis
  • Experience using CA Erwin and visualization tool such as Microsoft Visio and LucidChart
Create a Resume in Minutes

15 Architect, Data resume templates

1

Solutions Architect Data Centre Resume Examples & Samples

  • Technical lead to design, deploy, migrate and support new data center technologies with a strong emphasis on data center networking
  • Partner with service and delivery teams – establish credibility and capability regarding configuration and deployment of world class datacenter environments
  • Work closely with engineering and service teams to define technical configuration and best practices to optimize Cisco technology in a modern datacenter environment
  • Identify and support new service opportunities. Participate in developing and delivering strategic initiatives through prioritization and development of key activities, assist tools and technical implementation programs
  • Develop and nurture strong data center design, operations, and support
  • Develop and present best practices, technical concepts and technologies for innovative networking and computing solutions
  • Utilize subject matter expertise in area of enterprise applications, solutions and data center infrastructures to evaluate complex, sensitive business problems and build data center solutions
  • Articulate the technical merits and value of data center virtualization to Cisco clients
  • Provide knowledge transfer to clients regarding how to best architect, deploy and operate their data center environment
  • Document information to serve as base for training, appropriate technical operations, run books and knowledge objects
  • Strong customer-interaction skills and ability to quickly create excitement with data center personnel, establish credibility and work collaboratively with technical professionals
  • Proven experience in a technical consulting capacity
2

Data Architect / Data Modeler Resume Examples & Samples

  • Manage conceptual data model in a large enterprise organization
  • Design and implement processes and solutions for data management lifecycle
  • Define and implement data architecture improvement opportunities
  • Define and enforce best practices for data modeling and database design
  • Review and approve database structure and code changes
  • Provide guidance to development and operations staff
  • Provide guidance for managing database dependencies and performing impact analysis
  • Maintain Database Metadata repository to support documentation
  • A Bachelors Degree in Information Systems, Computer Science or equivalent
  • 10 years in the Information Technology field, with a focus on data architecture
  • 5 years of broad database knowledge and experience in data modeling, data design and data governance principals
  • 5 years experience with Oracle Databases, both design and development
  • In-depth knowledge and hands-on experience with PL/SQL
  • Solid understanding of Oracle HA and DR architectural solutions
  • Experience with Informatica ILM and TDM is a plus
  • Experience with Oracle directory management (OID, OUD) is a plus
  • Understanding and experience with Oracle Exadata platform is desirable
  • Must possess excellent interpersonal, verbal, presentation, and written communication skills
  • Must be politically astute and able to work successfully with a variety of Stakeholders
  • Must be a self-starter, and able to work independently with minimal supervision
  • Must have strong analytical and problem-solving skills
  • Must be a Team player with strong reasoning skills, who is able to effectively influence others, and who possesses excellent collaboration skills
  • Must have project leadership skills
  • Must be able to effectively multi-task
3

Ict Architect Data Modeler Analytics Resume Examples & Samples

  • 12+ years in developing data warehousing and business intelligence solutions. More than 5 + years of data modeling experience
  • Responsible for creating conceptual, logical and physical data models
  • Transfer knowledge from existing modeler/s and take forward the modeling for the enterprise data warehouse
  • Responsible to setup / modify modeling standard as well as be a watch dog that the standards are maintained in multiple projects
  • Actively participate in design reviews
  • Arranging workshops for requirements and functional specification creation
  • Ability to abstract and identify re-usable components within and outside the client engagements
  • Exposure to hardware sizing, volumetric analysis and capacity planning
  • Exposure to effort estimation
  • Should be able to work in a group of highly experienced architects
  • Excellent oral, written and client presentation skills
  • Ability to deliver informative, well-organized presentations
  • Ability to facilitate effective team interaction
  • Should be flexible for travel
  • Experience in requirements gathering and analysis of requirements Validation of business rules
  • Experience on delivering conceptual, logical and physical data models for the large enterprise data warehouses
  • Experience on dimensional modeling and ER modeling
  • Come up with enterprise data models including data model for Staging, Atomic Layers, EDW and Data Marts
  • Should consider the database and tools used in the project to come up with the physical data models
  • Performance aspects needs to be considered during data modeling
  • Interaction with multiple teams who would be using the data model
  • Should be capable of analyzing existing data models and come up with the potential issues with the model
  • Experience in Industry standard models would be a definite plus
  • Experience in delivering physical data models for the platform involving Netezza, SAP Hana,
  • Knowledge or experience on Data stage , BO DS or Business Objects would be a definite plus
  • Experience on data modeling tool from IBM – IDA is preferred
4

Data Architect, Data Engineering Resume Examples & Samples

  • Be a builder – Design the vision, strategy, and principles for our data pipelines, data dictionaries, conventions, schemas and structures
  • Take charge – Actively participate in software development and implementation in all we do, from “can we do it” proofs of concepts to our company-wide and mission-critical data platform
  • Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery
  • Have pride – Ensure messy data isn’t our weakness by helping design and implement robust data management, linking, and auditing technologies
  • Grow with us – Help us stay ahead of the curve by working closely with data engineers, ETL specialists, our DevOps team, and analysts to design systems which can scale overnight in ways which make other groups jealous
  • Not your first rodeo – Have 7+ years of experience with relational and denormalized data modeling and architecture
  • Query ninja – Know ANSI SQL like the back of your hand; you are also very handy with No-SQL systems such as HBase, MongoDB, or Cassandra
  • Technologically handy – Enjoy wielding a broad set of technologies relevant to the data space including very large databases, Hadoop, ETL tools, and Python
  • Passion and creativity – Are passionate about data, technology, & creative innovation
  • Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
5

Solution Architect Data Migration Resume Examples & Samples

  • Scope, define & design data migration solution offerings; driving end-to-end technical solutions
  • Support development, deployment of solution
  • Provide feedback to Development team
6

Solution Architect Data Platform Resume Examples & Samples

  • Modernize customers’ Tier-1 mission-critical for performance, scalability, latency, reliability
  • Execute technical proposal for optimizing and modernizing identified workloads
  • Architect data platform mission critical environments and/or migrations from competitors to Microsoft data platform
  • Possess in depth knowledge of competing technologies in database/data warehousing
  • Select and execute a platform modernization approach for customers data environments; Drive the quality of the DP modernization plan (with MCS or partners); Report on business objectives met
7

Lead Risk Data Architect / Data Modeler Resume Examples & Samples

  • Candidate will be an experienced program manager to provide senior management leadership for establishing and running
  • Own and Maintain End to End Data Flow and Architecture of Global Finance systems
  • Manage a team of Data Modelers and Data Mappers
  • Demonstrate Complete System Development Life Cycle experience for large scale complex projects with various industries
8

Senior Architect Data Analytics Resume Examples & Samples

  • Bachelor's Degree in Information Systems, Information Technology (IT), Computer Science or Engineering from an accredited university or college
  • Strong data and reporting experience (i.e. Big Data, Data Processing, etc.)
  • Very strong IT project management experience
  • Data democratization experience
  • Business Intelligence / Data Warehouse experience
  • Predix experience
  • Experience with visualization software
  • Experience with big data technologies
  • Business acumen and demonstrated ability to build relationships with business partners and external teams in a matrix environment
  • Experience with Change Acceleration Process (CAP)
  • Ability to influence and make recommendations to all levels of leadership
  • Green Belt or Black Belt Certified or equivalent quality certification
  • GE ITLP Information Technology Leadership Program Graduate (GE Employees Only)
9

Innovation Architect Data & Analytics Resume Examples & Samples

  • Minimum of 8 years of experience leading IT projects / teams
  • Minimum of 5 years of experience in an information systems design, implementation or operations
  • Expertise in most of the data technologies - RDBMS (MySQL), MPP (Greenplum), Big Data (Hadoop), NoSQL (HBase, Cassandra)
  • Proficient in SQL, PL/SQL with minimum of 5 years’ development experience
  • Familiarity with cloud products and strategies
  • Working knowledge with Java and web services
  • Strong team player, with the ability to collaborate well with others, to solve problems and actively incorporate input from various sources
  • Strong interpersonal, and leadership skills, with proven abilities to communicate complex topics to leaders and peers in a simple, clear, plan oriented manner
  • Change oriented, with the ability to actively generates process improvements, support and drives change, and confront difficult circumstances in creative ways
  • Resourceful and quick learner, with the ability to efficiently seek out, learn, and apply new areas of expertise , as needed
  • Highly self-motivated, with the ability to work independently
  • Superior organization, coaching and interpersonal skills, combined with effective leadership, decision-making, and communication
  • Strong oral and written communication skills (English)
  • Strategic and clear thinking to translate discreet and complex ideas to business-driven results
  • Detail-oriented with a strong drive to enforce common standards
  • Demonstrated acceptance and adherence to high ethical, moral, and personal values
  • Green Belt Certified (Internal Only)
  • ITLP Graduate (Internal Only)
10

Software Architect / Data & Technology Resume Examples & Samples

  • Be the technical design authority on solution level
  • Lead the definition of the solution architecture
  • Choose products and technical components
  • Align solution architecture with other corporate systems and applications
  • Coordinate solution architecture with technical architects of other projects and enterprise architects
  • Review technical concepts and artifacts created in project
  • Contribute to the planning meetings, define goals together with the other responsible roles
  • Support requirements gathering engineers and project manager
  • Provide status reports proactively and effectively to project manager
  • Escalate topics when needed and suggest a solution
  • Coach and take time for team members
  • Assign technical tasks / areas of responsibility to developers and other roles in the organization as needed
  • 5+ years of experience throughout the development cycle of complex software systems
  • Basic understanding of each of the listed technologies is required
11

Global Solutions Architect Data Insights Domain Resume Examples & Samples

  • Data Insights Strategy and Architecture Excellence
  • The successful candidate will have a BS/BA degree and/or relevant work experience in information technology consulting and technology program leadership
  • Exceptional demonstrated consulting and architecture skills are a strong requirement
  • Advanced technical solution selling and customer management skills
  • Deep expertise with selling and implementing Data solutions on the Microsoft on premises and cloud technologies. Experience in advanced analytics, machine learning and complementary data platforms is strongly preferred
  • Strong track record of collaboration and working on virtual and matrixed teams
  • Solid understanding of MSF and Agile methodologies, with full delivery lifecycle experience from pre-sales to support/operations on complex projects
  • Demonstrated track record of effective communication with technical and business leaders at all levels within large enterprises and within Microsoft business groups, product groups and sales organizations
  • Proven ability to transfer industry and market knowledge to new market opportunities and strategies
  • Experience with developing and executing plans with field sales organizations
  • Global experience across several markets preferred; specific experience in applicable time zone a must-have
  • Travel is an integral part of this position. Travel can be as high as 50% as is demanded by the needs of our customers and our business
  • This position location is flexible. The role will be based in a major subsidiary where Microsoft does business, with close proximity to a major international airport
12

Senior Architect, Data-business Intelligence Resume Examples & Samples

  • Architect, design, and build enterprise class relational and dimensional data models
  • Stay abreast of information management trends and standards, master data management, data services, self-service business intelligence, metadata management, data quality, and data governance
  • Serve as a technical resource for business teams to help define, estimate, and propose solutions for business opportunities
  • RDBMS (Teradata, Oracle, SQL Server) with strong working knowledge of Teradata and utilities
  • Data modeling tools (Erwin, Power Designer) and standards
  • ETL Tools (Informatica, etc.)
  • Familiarity with data warehousing components (Data acquisition, ETL, data modeling, infrastructure, profiling and reporting)
  • Demonstrates working knowledge of UML documentation of various business process and modeling to build Data Flow Diagrams, Process Models, ER diagrams, Dimensional Data Models, Context Models, Event Modeling, State
  • Modeling, Process decomposition, and Use Case Scenarios
  • Experience creating logical and physical data models based on the business reporting requirements
  • Minimum 7 Years BI data architecture experience
  • B.S. Computer Science or Management Information Systems or equivalent experience
  • Certification in Teradata, Teradata SQL or Hadoop preferred
13

Risk Data Architect / Data Modeler Resume Examples & Samples

  • Lead meetings with clients and key stakeholders to gather requirements, analyze, finalize and have formal sign-off’s from approvers
  • Interact with Technology senior management committees and provide status, risk/issues reporting
  • Familiarity with tuning and performance optimization techniques
  • Domain knowledge in the Local Regulatory Reporting Data Modeling and Architecture a strong plus
14

Senior Architect Data Analytics Resume Examples & Samples

  • Minimum of 5 years of data and reporting experience (i.e. Big Data, Data Processing, etc.)
  • Minimum of 10 years of IT project management experience
  • EIMP / CAS graduate (GE Employees Only)
15

Senior Architect, Data Services Architecture Resume Examples & Samples

  • A minimum of seven (7) years of professional experience with a minimum of three (3) years of previous management experience
  • A minimum of five (5) years of IT project management experience working on data architecture
  • A minimum of three (3) years of experience with enterprise methodology practices
  • A minimum of three (3) years of proficiency and experience on architecture modeling tools
  • Ability to manage third party delivery partner staff within blended team environment
  • Proficient skills in UML
  • Data Architecture Certifications
  • MA/MS Master’s Degree
  • A minimum of ten (10) years of professional experience
  • A minimum of five (5) years of demonstrated in-depth knowledge of hardware and database technologies
  • A minimum of four (4) years of director level experience
  • A minimum of four (4) years of experience with enterprise methodology practices
  • A minimum of three (3) years of IT project management experience
16

Architect, Data Resume Examples & Samples

  • Build & maintain Reference Model Architecture and Standards for communicating direction of Information Architecture
  • Unify collections of data requirements for key data concepts across the organization
  • Maintain a view of data across business systems and highlight opportunities for progressive improvement
  • Architect, design and build data models with focus on Business Intelligence and Information Mgmt
  • Minimum of 3-5 years of experience with enterprise level database systems such as Teradata, Oracle, SQL
  • Good data modeling skills in relational and dimensional database structures
  • Good SQL knowledge and ability to write and understand complex sql logic to join multiple tables from multiple sources
  • Understands and relates business needs as they pertain to Data Sources/Systems/etc
  • Good customer management skills including the ability to use personal initiative and to be a "self-starter”
  • Good written and verbal communication skills with strong relationship building skills
  • Skilled in data analysis and facilitation, i.e., able to produce data designs using a variety of inputs such as requirements analysis, SME interviews, business process and data flow analysis, data profiling, etc
  • Familiar with a variety of information architecture components such as MDM, data warehousing, data quality, business intelligence, metadata management, content management, Big Data/NoSQL, SOA, etc
  • Familiar with PowerDesigner or similar data modeling tools/repositories (Erwin or other IBM tools)
  • Knowledge of GRID tools, Data Modeling, SQL, Linux/Unix, and Windows
17

Architect Data & Information Level Resume Examples & Samples

  • Setting, implementing and monitoring Enterprise Data Principles, Guidelines, Objectives, Policies, Procedures and Standards
  • Setting the strategy for the overall data landscape of the organization, including definition and management of master data and ensuring alignment to the TO-BE data framework
  • Maintaining the Enterprise Data Framework
  • Conduct a feasibility study in respect of implementing business requirements (for Large Projects) from an informational perspective
  • Understand key business processes and business strategies
  • Define and analyse data requirements for the enterprise
  • Own and maintain the data flow diagrams, process maps and governance manuals to support the data/information architecture and ensure that all customised processes adhere to all standards set
  • Work closely with Clients, Business analysts, Project and Technical staffs to plan, design, and enhance databases and ensure that endresult information is delivered as expected, and that it delivers business value
  • Perform detailed data mapping and analysis of data and coordinate with, and derive, the corresponding enterprise data models
  • Perform data analysis and analyse business intelligence / reporting / analysis requirements
  • Gain thorough understanding of business reporting objectives and provide input into the solution deign that will best meet these requirements in a sustainable fashion
  • Assist information analysts in determining appropriate methodology for producing reports
  • Ensure solutions are delivered and implemented according to original design allowing, for tactical changes according to longer term strategic plans
  • Ensure projects comply with data/information architecture rules and policies
18

Software Architect, Data Systems Resume Examples & Samples

  • Design and lead development efforts for new processes utilizing Hive, Python, Java, Pig, Kafka, Oozie, and Apache Spark
  • Mentor junior developers to ensure search queries and map reduce jobs are optimized
  • Design and develop custom tooling to optimize the ingest of analytics and diagnostics data into HDFS
  • Estimate and plan development work, track and report on task progress, and deliver on work schedule
  • Lead initiatives within the team and across cross-functional teams
  • Design and develop proof of concept for bleeding edge features and processes
  • Oversee and contribute to a complex data processing pipeline and analytics framework
  • Programming using Java and Map Reduce Frameworks (i.e. Pangool)
  • BS in CS/EE or related discipline, Master’s or PhD is preferred
  • 8-10 years’ work experience focused on Java and Big Data development
  • Extensive experience with big data tools such as Pig, Sqoop, Hive, Hadoop, Kafka, and Spark
  • Experience in implementing ETL processes
  • Able to work directly with users, developers, and business analysts to provide technical support in developing and maintaining large scale data pipelines
  • Thorough and holistic understanding of Big Data platforms and design patterns
  • Excellent organizational, written, analytical, and problem solving skills
  • Must have very strong debugging and troubleshooting skills
  • Effectively able to work independently with minimal hands-on supervision delivering to aggressive timelines
  • Effectively able to collaborate with multiple teams across geographically diverse areas
19

Architect Data Management Resume Examples & Samples

  • Proven record in designing, developing and delivering Data Management and Analytic architecture across a range of products
  • Knowledge of diverse database architectures (centralized and distributed, homogenous and heterogenous, etc) and the application to enterprise solutions
  • Expert in database and information modelling (ER, Dimensional, physical, logical, hierarchical, semantic, etc.)
  • Expert in database and schema design and translation to implementation
  • Experience creating architectures for OLTP and BI/OLAP Big Data solutions
  • Strong knowledge of physical data architecture (data center, cloud, scalable and distributed systems). Experience in cloud based platforms (Amazon RDS, Azure, Redshift, etc.)
  • Experience with Big Data solutions (Hadoop, HDFS, Map/Reduce, HIVE/PIG, SPLUNK, etc)
  • Experience with Data Governance, Master Data Management, and metadata management
  • Experience with integration and middleware tools and platforms. ESB, ETL, etc
  • Experience with Agile practices, OOD, UML, Mobile development
  • Proven ability to communicate to all levels within the enterprise in verbal and written manner
  • Strong knowledge of .NET, SQL and XML schema, HTML5, Mobile platforms and OS’s
  • Strong understanding of the global policies and requirements for data privacy and security
20

Data Architect, Data & Analytics Resume Examples & Samples

  • Identify and develop a strong understanding of client’s core objectives and challenges
  • Document data architecture requirements and QA guidelines
  • Attend key design meetings and provide support
  • Ensure deliverable matches client’s requirements
  • Support clients on a day to day basis to help resolve system issues and answer client questions
21

Senior Architect, Data Integration Resume Examples & Samples

  • Responsible for Architecture and design of various Data Integration projects
  • Manage project plans and assigned resources, to ensure timely delivery
  • Create best practices in design and architecture that complies with Tenet standards
  • Participates in solution design, providing oversight and guidance related to data design and usage
  • Collaborates with team members, customers and partners to facilitate understanding of project, produce an efficient and effective solution, consistently at or ahead of established deadline
  • Knowledge of emerging technologies and methodologies that can be applied, to reduce cost and drive efficiencies
  • 5+ years of experience in Data warehousing, Business intelligence and ETL, using tools such as Datastage
  • Lead teams within a matrixed organization
  • Experience with SQL and stored procedures in Microsoft, Oracle or Netezza
  • Experience with analytics and data warehousing
22

Enterprise Architect & Data Modeler Resume Examples & Samples

  • Development of Business Intelligence Data Warehousing areas include: Data Analysis, Data Modeling
  • Working knowledge of the software implementation lifecycle, leadership skills and the ability to work well with both business clients, developers and other architect
  • Development of data warehousing centric Data Analysis and Data Modeling strategic direction for the department
  • Bridges gaps across business areas, operational business units, infrastructure team, and Data Warehouse development teams
  • Monitor and measure data architecture processes and standards to ensure value is being driven and delivered as expected
  • Establish data architecture strategy, best practices, standards, and roadmap
  • Coaches or mentors others to guide those though specific projects, policies, procedures and solutions
  • Bachelors’ degree from an accredited college/university in business related or technology related field or equivalent combination of education, training, and experience
  • 7+ years of experience in information technology
  • 5 + years of Data Modeling experience; Delivering both logical models and physical designs. MPP technologies preferred
  • 5+ years of Advanced SQL Coding/Tuning Experience in one or more of the following: Netezza, SQL server or Oracle
  • 2+ years of experience in a healthcare environment, preferable provider
  • Knowledge of healthcare industry and working with various billing, registration and EMRs is strongly preferable
  • Possesses sound analytical, problem solving, and critical thinking skills. Assignments may be complex in nature and modifications may be broader than the application itself. Must have the ability to think creatively and incorporate current technical solutions with the end user in mind. Assigned projects may be complex in nature and impact more than one system application
  • Understanding of Data Management/Metadata Management process and principles is essential
  • Helps develop data warehouse and strategic direction for the department
  • Defines and ensures standards for technology and business process are established
23

Solutions Architect, Data Center Resume Examples & Samples

  • Create Customer facing Presentations
  • VNX/VNX2/Unity/XtremIO
  • MyQuotes & EMC tools such as SPCollect and performance tools
  • Nutanix
  • Cisco UCS / Hyperflex
  • VCE Vblock solutions
  • Microsoft O365, Azure
  • VMWare VRA
  • Be able to size storage for a particular application
  • Experience which demonstrates a significant level of expertise in Storage, Cloud, and Virtualization technologies
24

Data Architect / Data Engineer Resume Examples & Samples

  • Developing data strategies and data architectures for your application portfolio
  • Providing thought leadership to key business and technology stakeholders, covering areas such as data governance, master data management, metadata management, data integration, data migration et al
  • Gathering and analyzing data requirements
  • Designing conceptual, logical and physical data models, shaping the development of database and API designs
  • Working collaboratively with business and product teams in a highly agile environment
  • Experience with data architecture in a professional environment, preferably financial services
  • Expertise in designing data structures and data flows for large, complex, highly available operational systems
  • Expertise of both relational and non-relational data modelling techniques and how these are implemented across a variety of relational and NOSQL technologies
  • Knowledge of enterprise integration patterns e.g. (SOA, microservices)
  • Knowledge of data
  • Self-starter – ability to manage a portfolio of stakeholders
  • SDLC Methodologies and Practices
  • Data Analysis
  • Coaching and Mentoring
25

IS Solution Architect Data Visualization Resume Examples & Samples

  • Defines the Business Intelligence (BI) visualization solutions and ensures alignment with other modules and surrounding BI applications through cooperation and collaboration across other BI Solution Architects and BI delivery units
  • Designs and develops a set of enterprise class BI visualization solutions
  • Works together with relevant stakeholders (e.g., business managers, IS Managers, other BI Solution Architects and 3rd Party IS Suppliers) regarding their expectations, business and technical requirements
  • Provides support to work teams, guiding and monitoring task completion,
  • Shares the expert knowledge and advice regarding new and emerging BI visualization technologies and best practices
26

Technical Architect Data Lake Resume Examples & Samples

  • Architecture development on the basis of requirements coming from various areas, driving transformation across multiple systems and domains, taking functional and quality attributes into account
  • Offering technical architectural guidance to implementation teams and ensure that the results are achieved at the expected quality level
  • Assessing the architectural integrity and the risks inherent to the solution in order to ensure that the recommendations are suitable and can be implemented
  • Formulating and managing solution & delivery risks and issues
  • Initialisation and coordination of structural improvements
  • Shaping and driving the execution of future state architectures and roadmaps
  • Coaching technical colleagues through your co-creation skills (workshops, guiding, constraining, selling, telling)
  • Share expert knowledge of multiple (new) technologies, products, business processes and architectures by speaking on conferences and feeding learnings back in the organization
27

Architect, Data Warehousing Resume Examples & Samples

  • Strong business acumen to quickly master HA business processes, data sources, and business information needs in designing and developing robust and elegant solutions to deliver business insights
  • Develop and own enterprise data models, ensuring designs are current, correct, and complete
  • Provide database and data architecture subject matter expertise in analysis, architecture, solution design, development, testing, and delivery of business solutions
  • Analyze business and technical processes to formulate, present and implement new and modified business information systems. Coordinate with business, architecture and technology teams -- ascertaining system requirements, program functions, output requirements and controls
  • Experience developing analytics solutions at significant scale, including distributed cloud computing technologies, such as Spark, Hadoop, MapReduce, etc
  • Experience with stream processing technologies, such as storm and Kinesis
  • Good understanding of MPP databases and column-oriented databases, such as RedShift, Impala, etc., and NoSQL databases
  • Manage ongoing projects and coordinate work with the appropriate IT group
  • SOX and PCI compliance experience
  • Business Objects and Tableau experience
28

Business Architect, Data & Statistics Resume Examples & Samples

  • Designs new capabilities and technology strategies to optimize and standardize Statistics tools and interfaces, makes data science capabilities available across the function, and promotes effective relationship management and information sharing
  • Works in close partnership with DCO, GSS, SPO, and TG to identify tools and capabilities to improve the way the Bank leverages and manages its data
  • Collaborates with GSS to develop of a broad and coordinated set of plans to meet the goals of Data and Statistics function
  • Formulates recommendations consistent with the Bank`s strategic plans
  • Develops and maintains the functions Process and Service Architectures
  • Participates in the research and evaluation of alternative solutions and makes recommendations consistent with stated requirements and priorities
  • Takes a lead role in the identification and evaluation (including proof of concept) of new technologies and techniques for meeting business objectives
  • Works closely with business analysts or development teams to ensure that designs meet business requirements
  • Applies knowledge of Statistics processes and strategic goals, analytic, and managerial skills to develop and deliver new services or products including conceptual design, determining specifications, developing project plans, and defining goals of the product or service
  • Drive continuous improvements in governance, measurement, and process excellence for all components of data services provided internally or by national partners to reduce risk and optimize value
29

Software Architect, Data Engineering Resume Examples & Samples

  • You will define the system architecture; choose technology stack, and research new technologies
  • You will prototype new ideas and solutions
  • You'll plan architecture rollout and technology stack updates
  • You will actively identify architectural weaknesses and recommend appropriate solutions
  • You'll define standards and methodologies to ensure consistency and high quality of software design and implementation
  • You'll not only architect the long-term state but also the path to get there, accounting for near-term product deliverables, technical debt, and the maturity and likely evolution of relevant technologies
  • You will actively participate with hands-on Scrum teams to lead implementation of the architecture
  • You'll be working with Product Management to understand business requirements
  • Keep this real, up to date, agile -- the opposite of an ivory tower
30

Architect Data Core Services Resume Examples & Samples

  • Design and develop architecture for data storage spanning across relational, document, key-value and columnar data storages
  • Suggest a right data schema and storage options based on the context of the problem being solved
  • Implement database optimization techniques to fix data retrieval bottlenecks
  • Build a monitoring capability that enables operations team to quickly identifying issues in production environment
  • Design data models for mission critical and high volume applications managed by real-time or batch processes to meet the business requirements
  • Identify and resolve data integration issues and suggest necessary validations, transformations and cleansing using various data architecture techniques
  • Experience with DB infrastructure with a special focus on cloud data storage infrastructure - Azure, AWS and google cloud platform
  • Very strong SQL skills, including experience querying large, complex data sets and performance analysis
  • Strong experience with architecting high volume transactional databases using MySQL, SQL server and Cassandra
  • Experience in shell scripting, Python, or any other scripting language
  • Thorough knowledge on database normalizations and data models
  • Strong knowledge on partitioning and indexes
  • Strong experience with ETL platforms with in-depth knowledge and understanding of ETL methodology, transformations & design supporting data services layer
  • Expert knowledge of and experience with schema design and ongoing maintenance for both transactional and reporting oriented-databases
  • Effectively communicate across teams of software engineers, application architects and data scientists
  • Requires a Bachelor’s Degree in Computer Science, Management Information Systems or closely related field and 10 years of related work experience
31

Data Architect / Data Modeler Resume Examples & Samples

  • Very strong data architecture and modeling skills for all kinds of database (OLTP, data staging, integration/operational data stores, data warehousing)
  • Strong understanding of entity relationship modeling, conceptual and logical modeling, hierarchies, relationships, metadata, data lineage, reference data
  • Experience with healthcare data (either provider or payer)
  • Good understanding of Oracle database concepts such as databases, schemas, referential integrity, primary/alternate keys
  • Good experience with Oracle SQL
  • Experience using CA Erwin and visualization tool such as Microsoft Visio and LucidChart
  • Experience creating data models, data architecture diagrams, data flow diagrams, process flow diagrams, interface diagrams, design standards, data dictionaries
  • Strong proponent of data architecture as a discipline, evangelize data architecture and data modeling