Azure Data Engineer with Palantir Foundry Expertise

Job Title:

Location:

Experience Level:

Role Overview:

Azure Data Engineer

Key Responsibilities:

Azure Data Engineering:

• Design, develop, and maintain scalable data pipelines using

  Azure Data Factory

  ,

  Azure Databricks

  ,

  SQL

  , and

  PySpark

  .
• Ensure data quality, integrity, and governance in Azure-based data platforms.
• Collaborate with Product Managers and Engineering teams to support business needs using data-driven insights.

Palantir Foundry Engineering:

• Data Integration:

  Build and manage pipelines; perform Python-based transformations; integrate varied source systems using code, repositories, and connections.

• Model Integration:

  Work with business logic, templated analyses, and report models to operationalize analytics.

• Ontology Management:

  Define object types, relationships, permissions, object views, and custom functions.

• Application Development:

  Build and manage Foundry applications using

  Workshop

  ,

  Writeback

  ,

  Advanced Actions

  , and interface customization.

• Security & Governance:

  Implement data foundation principles; manage access control, restricted views, and ensure data protection compliance.
• Perform ingestion, transformation, and validation within Palantir and maintain seamless integration with Azure services.

Mandatory Technical Skills:

• Strong proficiency in

  Python

  ,

  SQL

  , and

  PySpark

• Expert in

  Azure Databricks

  ,

  Azure Data Factory

  ,

  Azure Data Lake

• Palantir Foundry hands-on experience

  , with ability to demonstrate skills during interviews
• Palantir-specific capabilities:

• Foundry Certifications

  : Data Engineering & Foundational

• Pipeline Builder

  ,

  Ontology Manager

  ,

  Object Explorer

• Mesa language

  (Palantirs proprietary language)
• Time Series Data handling
• Working knowledge of

  Equipment & Sensor data

  in the

  Oil & Gas

  domain

Soft Skills:

• Strong communication and interpersonal skills
• Ability to work independently and drive conversations with Product Managers and Engineers
• Comfortable acting as a

  voice of authority

  in cross-functional technical discussions
• Proven ability to operate and support complex data platforms in a production environment

Nice to Have:

• Experience working with

  AI/ML models

  integrated in Foundry
• Exposure to

  AIP

  (Azure Information Protection) or related security tools
• Experience in

  Operating & Support functions

  across hybrid Azure-Palantir environments