Lead Data Engineer (Sr. Palantir Engineer)
About The Position
We are seeking a highly experienced Foundry Lead Data Engineer to architect, develop, and optimize scalable data solutions using Palantir Foundry. This senior role is ideal for a data engineering expert who thrives in complex, ontology-aware environments and can lead the design of robust data pipelines and applications that drive actionable insights. You will play a pivotal role in shaping our data strategy, collaborating with stakeholders across the organization, and ensuring the integrity, performance, and cost-efficiency of our data ecosystem. While familiarity with Generative AI (GenAI) is a plus, your core expertise should lie in data architecture, pipeline development, and Foundry platform mastery.
Requirements
- 8+ years of experience in data engineering or related roles.
- Strong proficiency in PySpark, Spark SQL, and Python.
- Deep hands-on experience with Palantir Foundry, including: Data Connections, Pipeline Builder, Contour, Code Repositories, Ontology Management, Workshop and Quiver.
- Solid understanding of data modeling, data governance, and access control.
- Proven ability to troubleshoot complex data issues and optimize performance.
- Excellent communication and collaboration skills.
Nice To Haves
- Experience with cloud platforms (e.g., Azure).
- Familiarity with Snowflake and its integration with Foundry.
- Exposure to Generative AI (GenAI) and its application in data workflows.
- Knowledge of data security, compliance, and metadata management.
Responsibilities
- Design, build, and maintain end-to-end ETL/ELT pipelines using PySpark, Spark SQL, and Python.
- Architect scalable data frameworks that support high-performance analytics and operational workflows.
- Conduct data cleansing, transformation, and validation to ensure data quality and consistency.
- Configure and manage data connections, Pipeline Builder, and Contour for data exploration and visualization.
- Develop and maintain ontology objects, ensuring semantic consistency and reusability across applications.
- Manage code repositories and version control within Foundry, promoting modular and maintainable engineering practices.
- Collaborate with data owners and domain experts to ingest, transform, and model data into ontology-driven applications such as Workshop and Quiver.
- Maintain clarity on the end-to-end architecture and data flow, ensuring seamless integration from ingestion to ontology.
- Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable data solutions.
- Engage with senior leadership to maintain a feedback loop for Foundry program improvements.
- Provide mentorship and technical guidance to junior engineers and analysts.
- Establish and maintain cost monitoring and reporting for Foundry-related operations.
- Lead efforts in troubleshooting, performance tuning, and platform stability.
- Stay current with Foundry platform updates, emerging features, and best practices.
- Identify opportunities for automation, optimization, and innovation in data workflows.
- Explore and evaluate GenAI capabilities for potential integration into data processes.
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
