Platform Engineer; Palantir Foundry

Platform Engineer (Palantir Foundry)

London (Hybrid) — 6 Month Contract — £600/day (Inside IR35)

Platform Engineer needed with strong Palantir Foundry and Databricks on AWS. Start ASAP in May/June 2026.

6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office.

Hybrid Working — 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London.

A chance to work with a leading global IT transformation business specialising in large-scale Government projects:

• Configure and support secure integration between Palantir Foundry and Databricks on AWS.
• Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed by Foundry using the Databricks connector or approved ingestion patterns.
• Hands‑on Palantir Foundry experience, including connectors, Data Connection, datasets, syncs, projects and permissions.
• Experience configuring or supporting the Palantir Foundry Databricks connectors.
• Strong Databricks on AWS experience, including SQL Warehouse, clusters, tables, views and access controls.
• Good understanding of Hive Metastore and Unity Catalog, including catalogs, schemas, grants, storage credentials and external locations.
• Strong AWS IAM, S3, KMS, bucket policy and cross‑account access experience.
• Set up and validate the Foundry Databricks connector for approved SQL Warehouses, tables, views and Unity Catalog-governed objects.
• Support end‑to‑end access from AWS S3 sources through Hive Metastore and Unity Catalog into Foundry datasets or products.
• Configure Foundry Data Connection, datasets, syncs, projects, permissions and lineage as required.
• Work with AWS teams to define IAM roles, S3 bucket policies, KMS permissions and approved cross‑account access patterns.
• Troubleshoot Foundry connector failures, Databricks authentication issues, Unity Catalog grants, schema mismatches and query failures.

Technical Environment:
Palantir Foundry, Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder, Code Repositories, AWS, Databricks, Terraform, IaC, Delta Lake, Parquet, Iceberg, CSV, JSON, Python, PySpark, SQL, CI/CD, Git Lab, Git Hub Actions.