Enterprise Data Architect – Healthcare Data Platform (Snowflake)
About The Position
We’re unique. You should be, too. We’re changing lives every day. For both our patients and our team members. Are you innovative and entrepreneurial minded? Is your work ethic and ambition off the charts? Do you inspire others with your kindness and joy? We’re different than most primary care providers. We’re rapidly expanding and we need great people to join our team. The Enterprise Data Architect is responsible for defining, governing, and evolving the architectural standards of the organization’s Snowflake-based healthcare data platform. This role establishes the technical foundation that ensures scalability, performance, auditability, and trust across enterprise data domains including Finance, Growth, Care, and Talent. This is a strategic technical leadership role focused on long-term platform reliability, AI-readiness, regulatory compliance, and enterprise-wide data consistency. The architect partners closely with Data Engineering, Analytics, Governance, and Application teams to ensure the platform can support operational reporting, advanced analytics, and AI-driven use cases.
Requirements
- 8+ years of experience in data architecture, data engineering, or platform architecture roles
- Deep hands-on experience with Snowflake or comparable modern cloud data platforms, including performance tuning and cost optimization
- Strong expertise in dimensional modeling and enterprise data modeling, preferably within healthcare or regulated data environments
- Demonstrated experience designing data contracts, interface standards, and SLA frameworks across multiple source systems
- Strong understanding of healthcare data domains, such as clinical, claims, membership, financial, or regulatory datasets
- Proven ability to influence and align cross-functional stakeholders, including Engineering, Analytics, Governance, and business leadership
- Excellent communication skills, with the ability to explain complex architectural concepts to both technical and non-technical audiences
- BA/BS degree in Computer Science, Information Technology, Information Systems, Computer or Software Engineering or a related field OR additional experience above the minimum will be considered in lieu of the required education on a year-for-year basis required
- A minimum of 8 years of IT-related work experience required
Responsibilities
- Define and govern enterprise data architecture standards across bronze, silver, and gold layers, ensuring consistent design patterns, separation of concerns, and scalability across domains
- Establish and maintain modeling frameworks, including dimensional models, canonical data models, and point-in-time snapshot strategies to support analytics, regulatory reporting, and machine learning
- Design and formalize data contract standards for upstream and downstream systems (e.g., EMR, payors, CMS, clearinghouses), including schema expectations, change management, and validation rules
- Define data freshness, SLA, and performance patterns, balancing latency, cost, and reliability for operational, analytical, and executive reporting workloads
- Partner with Data Engineering and Data Governance to embed data quality controls, reconciliation checks, lineage, and auditability directly into ingestion and transformation pipelines
- Lead Snowflake performance optimization and scalability design, including warehouse strategy, clustering, partitioning, and cost-aware architecture patterns
- Provide architectural oversight and design review for high-impact initiatives, ensuring alignment with enterprise standards, long-term roadmap, and AI/ML readiness
- Guide AI-ready data architecture by ensuring high-quality features, consistent snapshots, and governed datasets suitable for advanced analytics and LLM-enabled workflows
- Mentor and coach engineering teams on architectural best practices, modeling techniques, and design tradeoffs, raising the overall technical maturity of the organization
- Act as a trusted technical advisor to senior leaders, translating business needs into durable architectural solutions and influencing cross-functional alignment
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees
