Senior Data Solutions Engineer
2 days ago
We are seeking a skilled Data Solutions Architect to join our team. This is an exciting opportunity for a senior-level professional with expertise in designing, developing, and optimizing end-to-end data solutions on Palantir platforms.
In this role, you will be responsible for architecting, developing, and maintaining complex data pipelines, as well as mentoring junior teammates to help them grow in their careers.
Key Responsibilities:- Design and develop reusable transforms and data models that underpin business workflows.
- Develop and optimize ETL/ELT pipelines in Python (PySpark) and SQL.
- Integrate diverse sources (batch, streaming, JDBC/ODBC, REST/Kafka/Kinesis) into Foundry.
- Tune high-volume, latency-sensitive data feeds for both batch and event-driven patterns.
- Bachelor's degree in computer science, Data Engineering, Data Science, Information Systems, or a related technical field.
- 5-9 years of hands-on data engineering experience, including 2+ years working with Palantir Foundry or Gotham.
- Masters degree in data science, Analytics, Computer Science, Information Systems, or related discipline.
- Hands-on experience with AWS, Azure or GCP services (e.g., S3, Glue, Dataflow) supporting Palantir deployments.
- Opportunity to work on cutting-edge projects and technologies.
- Collaborative and dynamic work environment.
- Ongoing training and development opportunities.
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