Senior Software Engineer(Palantir Foundry)

We are looking for a Senior Software Engineer to own an enterprise data provisioning and access-governance portal end to end. It spans a Palantir Foundry front end (Workshop), Foundry workflow orchestration, and a Python execution engine that provisions resources on Snowflake and AWS. You will also contribute to industrial/OT data integration and to the governance design behind it, in a regulated (GxP-equivalent) environment.

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Job Location: Bangalore/Hybrid

Preferred :Immediate Notice Period

Required Experience : 5+yrs

Must-Have Skills

Strong Python (backend services, Pydantic, REST integrations)

Advanced SQL and hands-on Snowflake (CDC, streams, tasks, Snowpipe, secure sharing, RBAC)

Terraform, ideally with the Snowflake provider

AWS: Lambda, S3, Glue Data Catalog, IAM

Palantir Foundry: Workshop and workflow/process orchestration

Git and CI practices; JSON-based schema and config design

Experience designing approval or workflow-driven applications

Key Responsibilities

Design and build Foundry Workshop applications and backend workflows for data request, approval, and provisioning, including multi-stage lifecycles (requester data steward data owner engineering business verification) with role-based ownership handoffs.

Develop Python backend services covering REST API handling, retry and error-handling logic, and Pydantic-based schema modeling and validation.

Build and maintain Snowflake pipelines: MERGE/STREAM-based CDC, Tasks, Secure Views, stored procedures, Snowpipe / Snowpipe Streaming, and Secure Data Sharing.

Manage Snowflake RBAC (roles, grants) and tune warehouse performance and cost.

Provision infrastructure as code with modular Terraform (databases, roles, grants, warehouses) for repeatable environment builds.

Build event-driven ingestion on AWS (Lambda, S3 data lake, Glue Data Catalog, IAM access boundaries).

Integrate OT/process historian data (e.g., Aveva PI) via Lambda Snowpipe Snowflake Secure Shares, and contribute to entity modeling and governance for OT data domains.

Keep hierarchical and relational data models in sync between source systems and downstream platforms, including output-port and ownership-privilege logic.

Own engineering hygiene: Git workflows, pre-commit hooks, ruff linting/formatting, PR templates, and review gating.

Use structured AI-assisted development workflows (plan build review) responsibly.

Drive dev QA production promotion within validated/regulated system requirements.