Principal Data Architect

About This Role

Tile Health’s clinical data platform is the backbone of everything we build-powering analytics, AI models, and provider-facing dashboards. The Principal Data Architect will own the technical vision for how health data is ingested, modeled, stored, and served across the organization. This is a highly strategic role for a seasoned architect who thrives at the intersection of healthcare interoperability and modern data platform design.

What You'll Do

• Define and evolve Tile Health’s enterprise data architecture encompassing ingestion, transformation, storage, and serving layers
• Design a canonical clinical data model that accommodates EHR, claims, pharmacy, lab, and SDOH data from heterogeneous sources
• Evaluate and select core data platform technologies, balancing performance, cost, and operational complexity
• Establish architectural standards for data partitioning, indexing, and retention that meet both analytical and compliance requirements
• Mentor data engineers and analytics engineers on architectural best practices and design review processes
• Author and maintain data architecture decision records (ADRs) and technical roadmaps

What We're Looking For

• 10+ years of experience in data architecture or data platform engineering, with at least 3 years at a principal or staff level
• Expert-level knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, or Redshift) and distributed data processing frameworks
• Deep familiarity with healthcare data standards including HL7 FHIR, OMOP CDM, and US Core Data for Interoperability (USCDI)
• Experience designing multi-tenant data architectures that enforce row-level security and tenant isolation
• Strong written and verbal communication skills for articulating architectural decisions to technical and non-technical stakeholders

Nice to Have

• Experience leading data platform migrations (e.g., on-premises to cloud, monolith to lakehouse)
• Familiarity with real-time data mesh or data product paradigms
• Background in building data platforms for regulated industries beyond healthcare (finance, government)
• Active contributions to healthcare data standards organizations (HL7, CARIN Alliance, Da Vinci Project)