Position Details
About this role
A senior data engineering/architecture role focused on designing and optimizing data pipelines using Palantir Foundry, Python, and Spark, supporting enterprise data solutions with cloud integration.
Key Responsibilities
- Design scalable data pipelines
- Optimize performance
- Integrate data sources
- Ensure data governance
- Lead data projects
Technical Overview
Technical scope includes data pipeline development, data governance, cloud platform integration, containerization, and performance tuning, centered around Palantir Foundry, Python, Spark, and Kubernetes.
Ideal Candidate
The ideal candidate is a senior data engineer or architect with over 10 years of experience, proficient in Palantir Foundry, Python, and Spark, with strong knowledge of data governance, security, and cloud platforms, capable of leading complex data projects.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years of experience in data architecture, No hands-on Palantir Foundry experience, Lack of proficiency in Python or Spark, No experience with cloud platforms
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