Job Description

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

Why this job matters:

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. This role will focus on unifying data across multiple operational and analytical domains (such as clinical, claims, provider, demographic, and engagement data) to support advanced analytics, personalization, and enterprise decision-making.

This role will establish the conceptual, logical, and physical architecture needed to deliver a holistic and longitudinal view, working closely with internal stakeholders and external vendor engineers. 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.

This role focuses on designing, governing, and guiding the implementation of new data capabilities, data models, identity resolution, and integration patterns.

What you will do:

Lead enterprise data architecture and modeling: Define the 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 or more years of experience in data architecture, data engineering, or related disciplines.
10 or more years of experience designing logical and physical data models for complex, cross-domain environments (relational, dimensional, and/or canonical).
8 or more years influencing enterprise-level technical architecture decisions.
Experience with modern ELT/ELT development patterns, data orchestration methodologies, and cloud-native architecture best practices.
Technical

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.
Business

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.

The 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 products
Experience with data governance and cost optimization in cloud ecosystems

How to Apply

Job Categories: Equal Opportunities. Job Types: Full-Time. Salaries: 100,000 and above.

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