Azure Data Architect

Position Summary:

Data Architect will provide architectural leadership and technical vision for our Enterprise Data Platform by designing and architecting components across the Modern Data Platform spectrum from Data Collection to Advance Analytics & Data Visualization

Data Architect will contribute to a strategic vision to enable a modular, reliable, robust, and scalable data platform that supports data-driven decision making and analytic capabilities

Data Architect will ensure new features and subject areas are modeled to integrate with existing structures and provide a consistent view. Data Architect will develop and maintain documentation of the data architecture, data flow and data models of the data platform appropriate for various audiences.

Data Architect will provide direction on adoption of Cloud technologies (such as Snowflake) and industry best practices in the field of modern data platform architecture and modeling, providing technical leadership to large enterprise scale initiatives.

Responsibility

Defining the future data architecture and operating model based on modern thinking including data mesh, lake house, domain driven architecture and using UX techniques to uncover high value user journeys

Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business enablement, maximizes reuse, and protects the ecosystem

Contribute to designing multi-phased cloud data strategies, including crafting multi-phased implementation roadmaps

Architect solutions for Performance, Availability, Reliability, Security & Cost

• Develop a comprehensive data architecture capable of supporting various data types (structured, semi-structured, unstructured) and analytics needs from reporting to machine learning
• Provide a standard common business vocabulary, express strategic requirements, outline high-level integrated design to meet those requirements, and align with enterprise strategy and related business architecture
• Collaborate with business, product, and technology teams early in product lifecycle to influence end-to-end architecture, including functional and non-functional aspects with a keen eye for
• data quality, data integrity and data availability

Create strategies for data transformations and analysis for clinical, image, device, wearable, and demographic data

Evaluate and implement a variety of data tools (Python, SQL, NoSQL, Talend, Snowflake/Synapse) on Azure to build ETLs/ELTs and data models

Drive proofs-of-concept initiatives, rapid prototyping with the intent of validating hypotheses.

Research and evaluate the best-of-breed technologies to inform data architecture decisions, build-vs-buy, and cost/benefit analysis

Drive platform automation to promote continuous integration/continuous delivery, test-driven development, and streamlined production deployment frameworks

Drive collaborative reviews of design, code, data, features implementation to drive engineering excellence around total cost of ownership, data quality & process maintainability

Collaborate to design, implement, & assess solutions & procedures to be compliant with data governance policies and standards