At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster.

We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA.

At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way. Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.

The Role

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. Must Haves

• 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.

Nice To Haves

• 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.

• Own the design of the CluePoints data layer and build it hands-on, writing production code alongside the squad.
• Design a metadata-driven schema with a stable spine that absorbs change without breaking the applications built on it.
• Build a semantic tier that maps study fields to concepts, keeping structure and meaning cleanly separate.
• Deliver a versioned, auditable query interface for our applications, with lineage and attributable change built in.
• Set the squad’s engineering and AI-first practices, using AI tools with clear verification and evaluation.
• Coach engineers through code and design, and partner with our GM and VP Engineering on direction.