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Data Architect

Company: National Multiple Sclerosis Society
Location: Denver
Posted on: January 26, 2023

Job Description:

Are you ready to build a rewarding career making a real impact, changing the world for people living with MS?
To realize our vision we need innovative, collaborative individuals who are motivated and will work with urgency and relentless resolve so people with MS can live their best lives.
Our Technology team is a group of dynamic individuals who partner with others to provide technology support and expertise to reshape the way work is done. In everything we do, we consider new approaches and use technology to increase effectiveness.
Does this sound like you? If so, act now. Do life changing work.

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.

    Essential Functions/Responsibility:
    Data Architecture (80%)

    • 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

      Training, Knowledge Sharing & Documentation (15%)

      • Write clear, detailed, concise documentation-architecture diagrams, reference architecture, data flows, data models, design, and implementation plan
      • Share insights and best practices with Engineering team, provide technical mentorship to the Engineering team
      • Able to clearly articulate breadth of topics such as Cloud Data Warehouses, Data Lake technologies, ETL, Data modeling, Machine Learning & DevOps
      • Enable internal Society key technology team who drive long-term cloud-based data platform adoption within Society to be advocates

        Market and Volunteer Engagement (5%)

        • Support local market/office, including but not limited to attending market/office meetings
        • Actively participate in local market/office events as a participant or volunteer

Keywords: National Multiple Sclerosis Society, Denver , Data Architect, Other , Denver, Colorado

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