- Join a collaborative hybrid team where data technology and real world impact come together
- In this role you ll help design and deliver scalable data solutions using Palantir Foundry turning complex datasets into reliable actionable insights for stakeholders
- You ll work closely with engineers analysts and business partners to understand requirements model data thoughtfully and build pipelines and applications that support decision making
- If you enjoy solving ambiguous problems improving data quality and enabling teams with well structured platforms and workflows this is a great opportunity to grow your expertise while contributing to meaningful outcomes
- You ll be encouraged to bring ideas automate where possible and continuously improve how data products are built and maintained in a modern hybrid work environment
Key Responsibilities:
- 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
Technical Requirements:
- Technology Data Engineering Palantir Foundry
Additional Responsibilities:
- 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
- Solid problem solving mindset with the ability to improve performance reliability and usability of data products