Palantir Foundry

Palantir Foundry

Technology->Data Engineering->Palantir Foundry • Experience designing end-to-end Foundry solutions including dataset modeling, pipeline orchestration, and operational monitoring. • Working knowledge of SQL and Python for data transformation, automation, and analytical workflows integrated with Foundry. • Exposure to data governance practices such as access controls, lineage, and auditability in enterprise environments. • Familiarity with CI/CD concepts and version control to support reliable releases and collaborative development. • Strong problem-solving mindset with the ability to improve performance, reliability, and usability of data products. • Build, configure, and maintain data pipelines and workflows within Palantir Foundry to support business and analytics needs. • Collaborate with stakeholders to gather requirements, translate them into Foundry-based solutions, and ensure alignment with expected outcomes. • Perform data profiling, cleansing, and validation to improve data quality, consistency, and reliability across datasets. • Develop and maintain reusable components, transformations, and data models to enable scalable analytics and reporting. • Troubleshoot pipeline failures and performance bottlenecks; implement fixes and optimizations with clear documentation. • Support deployments, versioning, and controlled releases of Foundry assets while following governance and best practices. • Create clear technical documentation for pipelines, datasets, and operational procedures to support maintainability. • Work effectively in a hybrid setup, ensuring consistent communication, timely updates, and smooth coordination across teams Minimum Qualifications: • Education: BTECH, MCA, MSC, or MTECH. • 3–5 years of overall experience in technology/data roles with hands-on delivery responsibilities. • Minimum 3 years of experience working with Palantir and Palantir Foundry in building data solutions. • Strong understanding of data pipeline concepts, data modeling, and data quality practices. • Ability to analyze requirements, communicate effectively with stakeholders, and deliver within agreed timelines.