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Sr Enterprise Data Architect

Job in Providence, Providence County, Rhode Island, 02912, USA
Listing for: Blue Cross & Blue Shield of Rhode Island
Part Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Data Engineer
Job Description & How to Apply Below

Sr Enterprise Data Architect

Blue Cross & Blue Shield of Rhode Island is seeking a strategic and technical leader to design and govern the enterprise’s next‑generation data architecture. The role focuses on unifying data across multiple operational and analytical domains—clinical, claims, provider, demographic, and engagement—to support advanced analytics, personalization, and enterprise decision‑making.

Pay Range
: $ – $

Contact
: _Acquisition Team

Must be able to work in the office 2 days a week in Providence, RI.

Position Details

Mid‑Senior level, Full‑time, Engineering and Information Technology.

Why This Job Matters

The Senior Enterprise Data Architect will lead the design and governance of the enterprise architecture, establishing the conceptual, logical, and physical models needed to deliver a holistic, longitudinal view of data. The role works closely with internal stakeholders and external vendor engineers to set architectural standards, oversee a distributed delivery team, and ensure high‑quality outcomes from vendor partners.

What You Will Do
  • Lead enterprise data architecture and modeling:
    Define architectural vision, standards, and conceptual/logical/physical models that unify data across clinical, claims, provider, demographic, and engagement domains.
  • Provide technical leadership and drive vendor delivery teams:
    Guide external engineering teams in implementing pipelines, transformations, and models aligned with architectural standards. Conduct design reviews, enforce best practices, and ensure quality, performance, and cost efficiency in Snowflake.
  • Translate business needs into scalable architectures:
    Partner with stakeholders across IT, analytics, clinical, and operations to convert requirements into actionable roadmaps and technical designs.
  • Champion modern cloud data engineering patterns:
    Promote Snowflake‑native and cloud‑native design patterns, including semi‑structured/unstructured data handling, streaming ingestion, and cost/performance optimization.
  • Strengthen governance & data quality:
    Collaborate with governance and security teams to define metadata standards, lineage practices, PHI protection, and stewardship models.
What You Need To Succeed
  • Bachelor’s degree in Computer Science, Information Science, or related field, or equivalent experience.
  • 10+ years of experience in data architecture, data engineering, or related disciplines.
  • 10+ years designing logical and physical data models for complex, cross‑domain environments.
  • 8+ years influencing enterprise‑level technical architecture decisions.
  • Experience with modern ELT/ELT development patterns, data orchestration methodologies, and cloud‑native architecture best practices.
Technical Expertise
  • Hands‑on, advanced expertise with Snowflake, including Snowpipe, Streams & Tasks, performance optimization, and governance capabilities.
  • Experience with modern ELT tools such as Matillion, dbt, or similar.
  • Strong knowledge of modern storage paradigms—No

    SQL, 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, e.g., Power BI.
  • Strong experience with layered/lakehouse architectures (raw/bronze, conformed/silver, curated/gold).
  • Background in designing canonical models, conformed dimensions, and large‑scale data integration patterns.
Business Acumen
  • Experience in healthcare or health insurance industry, especially with claims, clinical, provider, and member data.
  • Strong business acumen with 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 to influence stakeholders, mentor technical teams, and drive clarity in complex data environments.
  • Creativity and innovation in developing modern data solutions.
Extras
  • Master’s degree in Information Systems, Engineering, Computer Science, or related field.
  • Experience with healthcare administrative systems (e.g., Facets) is a plus.
  • Experience with HL7 / FHIR / healthcare interoperability standards.
  • Experience building or governing data…
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