Palantir Data Engineer - Senior Associate

Hi,

Greetings from Preludesys India Pvt Ltd!!

We are hiring for one of our prestigious clients for the below position!!!

Job Opportunity: Palantir Data Engineer - Senior Associate (5-9 Years)

Notice Period: Immediate - 30 Days

Job Requirements and Preferences

Basic Qualifications

• Minimum Degree Required:

  Bachelor's degree in computer science, Data Engineering, Data Science, Information Systems, or a related technical field

• Minimum Years of Experience:

  59 years of hands-on data engineering experience, including 2+ years working with Palantir Foundry or Gotham, Palantir Foundry, Snowflake (ingest/query), Kafka (streaming), Python & Pyspark, SQL, Data Modeling

Preferred Qualifications

• Degree Preferred:

  Master's degree in data science, Analytics, Computer Science, Information Systems, or related discipline

• Preferred Fields of Study:

  Data Processing/Analytics/Science, Management Information Systems, Software Engineering

Preferred Knowledge & Skills

As a Senior Associate, you architect, develop, and optimize end-to-end data solutions on Palantir platforms, while mentoring junior teammates. You demonstrate deep technical acumen across:

• Palantir Platform & Data Modeling

  Design and maintain Foundry ontologies, datasets, and code workbooks Build reusable transforms and data models that underpin business workflows

- Palantir Foundry, Snowflake (ingest/query), Kafka (streaming), Python & Pyspark, SQL, Data Modeling

• Cloud-Scale Data Engineering

  – Develop and optimize ETL/ELT pipelines in Python (PySpark) and SQL – Integrate diverse sources (batch, streaming, JDBC/ODBC, REST/Kafka/Kinesis) into Foundry

– Build and deploy data pipelines using Snowflake

• Performance & Scalability

  – Tune high-volume, latency-sensitive data feeds for both batch and event-driven patterns – Employ caching, partitioning, and parallelization best practices

• DevOps & Automation

  – Implement CI/CD pipelines with Git, Docker, Kubernetes, and infrastructure-as-code – Automate testing, deployment, and versioning of Foundry code

• Data Governance & Quality

  – Leverage Foundry’s built-in lineage, access controls, and monitoring capabilities – Collaborate with data stewards to define quality metrics and enforce policies

• Cloud & Infrastructure

  – Hands-on experience with AWS, Azure or GCP services (e.g., S3, Glue, Dataflow) supporting Palantir deployments – Understand network security, IAM, and multi-cloud/hybrid architectures

• Collaboration & Mentorship

  – Partner with data scientists, analysts, and architects to translate requirements into robust solutions – Coach junior engineers, share best practices, and drive continuous improvement

• Communication & Delivery

  – Present technical designs and performance analyses to senior stakeholders – Contribute accelerators, playbooks, and internal tools to accelerate client delivery