Sr Enterprise Data Architect

Position: Sr Enterprise Data Architect

Location: Providence, Rhode Island

Hybrid Onsite: 3 days a week

Duration: 6 Months + Contract

Summary:

• The Senior Enterprise Data Architect will serve as the strategic and technical leader responsible for designing and governing the enterprise’s next-generation data architecture.
• The ideal candidate brings deep expertise in modern cloud data platforms, specifically Snowflake, data warehousing, ELT, and excels at setting architectural standards, overseeing a distributed delivery team, and ensuring high-quality outcomes from vendor partners.
• My client is launching a Member 360 data program.  Providing the business more views of member data/demographics/programs they’re eligible for, etc.  This will improve the existing care model. 
• Seeking the Architect to take requirements and create a roadmap and implement it with the team. Advise how do to build it? Building a modernized data platform using snowflake

Qualifications:

• Hands-on, advanced expertise with Snowflake as a cloud data platform, including advanced features (Snowpipe, Streams & Tasks, performance optimization, and governance capabilities).
• Experience with modern ELT tools such as Matillion, dbt, or similar.
• Strong experience with modern storage paradigms - NoSQL, data lakes, unstructured content management.
• Strong experience with modern integration patterns - APIs, FHIR, event streaming, real-time data flows.
• Advanced knowledge of industry-leading BI tools (such as Power BI)
• Strong experience with layered/Lakehouse architectures (e.g., raw/bronze, conformed/silver, curated/gold).
• Strong background in designing canonical models, conformed dimensions, and large-scale data integration patterns.
• Experience in healthcare or health insurance industry, especially with claims, clinical, provider, and member data.
• Strong business acumen, including the ability to understand operational, clinical, and analytical workflows.
• Demonstrated ability to lead and manage day to day work of vendor or offshore engineering teams.
• Strong leadership and communication skills with the ability to influence stakeholders, mentor technical teams, and drive clarity in complex data environments.
• Creativity and innovation in developing modern data solutions.

Preferred Education and Experience

• Master’s degree in Information Systems, Engineering, Computer Science, or related field.
• Experience with healthcare administrative systems (e.g., Facets)
• Experience with HL7 / FHIR / healthcare interoperability standards
• Experience building or governing data products
• Experience with data governance and cost optimization in cloud ecosystems