[Hiring] Principal Data Platform Architect @CluePoints

Role Description

We’re looking for a Principal Architect to join our Data Layer squad and contribute to our mission of transforming clinical research through data-driven insights. This is a hands-on, player-coach role: you’ll own the design of the CluePoints data layer and build it with the squad. You’ll report to our GM, with a dotted line to the VP Engineering.

Qualifications

• Has built and evolved a metadata-driven or schema-flexible data platform in production.
• Currently writes production code; this is a hands-on role.
• Audit-grade thinking: data lineage, versioning and attributable change, in any regulated domain.
• Can describe living with schema drift in production: what broke and what they changed.
• Separates structural mapping from semantic meaning in data design.
• Uses AI tools in day-to-day delivery with explicit verification and evaluation of the output.
• Track record of coaching other engineers through code.
• Designs for the team available, with scope sized to a small squad.
• Communicates architecture clearly to engineering, QA and business leadership.

Requirements

• Experience of multi-tenant SaaS with strong data segregation.
• Background in semantic layers, ontologies, knowledge graphs, or schema and ontology matching.
• Familiarity with clinical and health data standards such as CDISC, ODM, FHIR or OMOP, or with GxP and 21 CFR Part 11 (clinical knowledge can be learned on the job).
• Visible hands-on work, such as recent open-source commits, contributions to projects like OpenLineage, DataHub, Iceberg, HAPI FHIR or OHDSI, or conference talks.