Foundry Engineering Lead

Role overview Lead the technical direction and ongoing development of a data platform that supports operational workflows, internal tools, and customer-facing insights. This senior, hands-on role combines architecture and engineering with setting standards, mentoring colleagues, and coordinating across technical and business teams.

Responsibilities - Design the platform architecture and technical roadmap, balancing scale, security, reliability, and long-term data integrity. - Build and maintain data pipelines that bring together infrastructure, platform, and business-system data. - Develop data models, schemas, and ontology structures to support operational use cases and a digital representation of the business. - Establish access controls, governance, data quality checks, monitoring, lineage, and freshness practices. - Review code, document data contracts and semantic layers, and help colleagues deliver consistent, trusted datasets. - Partner with product and commercial teams to turn questions into data solutions, including capacity planning, cost analysis, reliability, and customer reporting.

Requirements - Deep practical experience with Palantir Foundry, including ontology modelling, pipelines, data architecture, and large-scale platform design. - A track record of technical leadership in data engineering, including architecture decisions, standards, and mentoring. - Strong Python skills and experience with data tools such as Spark, PySpark, Dask, or pandas on complex datasets. - Familiarity with API-based integrations, including REST, GraphQL, or Foundry Action APIs. - Experience with Git-based development, code review, version control, and CI/CD workflows. - Clear communication skills and the ability to take ownership in an environment where requirements can change.

Nice to have - Experience with AWS, GCP, or Azure, especially alongside infrastructure telemetry. - Familiarity with distributed systems, monitoring data, usage-based billing, or customer-facing data products.