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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