Data Solution Architect Cover Letter

I am excited to be applying for the position of data solution architect. Please accept this letter and the attached resume as my interest in this position.

Previously, I was responsible for experienced guidance in architecting batch-based data processing patterns and pipelines, real time streaming and event based data solutions.

Please consider my experience and qualifications for this position:

• Extensive knowledge & experience of the targeted application, industry, standards & legislation relevant to the Data Center Segment
• Deep commercial and technical knowledge on the segment system offer, and the competence to use this knowledge
• Customer focus, listening and communication skills
• Proven experience working with Service Oriented and Event Driven Architectures (SOA / EDA), SOAP and RESTful services
• Successful proven track record in Solution Architecture advisory in implementing Master Data Management solutions
• Experience in Big Data (Apache Hadoop) and Data Lake architectures
• Experience with industry architecture frameworks, TOGAF or ZACHMAN
• Experience working with IT System Integrators and Software vendors

In response to your job posting for data solution architect, I am including this letter and my resume for your review.

In the previous role, I was responsible for solutions for real time/batch data injection into Hadoop Data Lake through Streaming systems.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• Manage adoption of new solutions to new problems from opportunity identification, proof of concept, pilot and live deployment
• Working in an agile environment interacting at all levels developers to executives able to be hands on with code and talk business
• Ensure the solution is fit for purpose, meets the needs of the agreed product version/MVP and work closely with the business to pragmatically support the delivery of the strategic architecture
• Manage key business stakeholders to secure strong stakeholder engagement and buy-in for the solution approach and balancing demand from multiple stake holder groups
• Work with the practice lead to develop the company approach to
• Participate from in technology evaluation and selection process, evaluating usefulness and cost of products and making appropriate recommendations
• Solution architect on at least 2 innovative projects
• Experience of full end-to-end software/systems development life cycle from product strategy through solution design to user testing and deployment

I would like to submit my application for the data solution architect opening. Please accept this letter and the attached resume.

In the previous role, I was responsible for governance on data architecture for the business domains under his/her responsibilities, data standards and target operating models for data activities.

Please consider my experience and qualifications for this position:

• Help sales team be successful on business opportunities in Healthcare & DC segments
• Bring differentiation and innovation to our customers, addressing business needs, customer process constraints, and technical challenges
• Adapt reference architectures by customer need and connect solutions sales, execution and delivery
• Influence Business Units roadmaps
• Working knowledge and understanding of the customer needs in Healthcare segment
• Needs to have deep knowledge in Power Management Systems and well as Building Management Systems for critical facilities
• Significant system and application experience
• Has high level communication skills and can connect our business oriented sales with the technical oriented Execution

I would like to submit my application for the data solution architect opening. Please accept this letter and the attached resume.

Previously, I was responsible for metadata management architecture to manage technical and business definitions of data domains housed in Finance IT’s infrastructure.

Please consider my qualifications and experience:

• Virtualization concepts and specifications acc
• Understanding of LINUX platforms and distributions
• Basic knowledge on blade server architecture
• Orchestration and Automation concepts (scaling, life cycle management …)
• Test or code automation based on Dev-Ops hands on knowledge
• Modelling languages such YANG/TOSCA & Heat
• Hands on with SDDC, Cloud & virtual aspects either on
• Deep knowledge in designing Data platforms and analytical solutions in AWS cloud platform

Please consider me for the data solution architect opportunity. I am including my resume that lists my qualifications and experience.

In my previous role, I was responsible for recommendations and participates in activities related to the design, development, and maintenance of the Enterprise Architecture (EA).

Please consider my experience and qualifications for this position:

• Architect solutions leveraging AWS machine learning and AI specific services, working with our customers to deeply understand their business needs and to design a technical solution that takes best advantage of the AWS Cloud platform and Machine Learning Services
• Thought Leadership – Craft & develop compelling audience-specific messages and tools (product videos, customer success stories, demos, whitepapers, presentations, how to guides ) Present AWS services and technologies through forums such as AWS Blogs, Whitepapers, Reference architectures and Public-Speaking events such as AWS Summit and User-Group events
• Develop and support an AWS internal community of AI related Subject Matter Experts
• Collaborate with AWS business development, professional services, training and support teams to help partners and customers learn and effectively use AWS services
• Serve as a key member of the business development and account management team helping to ensure customer success on the AWS platform
• Deep experience in design/implementation/consulting experience of Machine Learning/AI/Deep Learning solutions
• Strong understanding and experience in the field of AI and related technologies, including deep learning and overall machine learning concepts
• Strong understanding of machine learning algorithms such as clustering and classification algorithms and especially neural networks (CNN, RNN )