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Protocol Intelligence
Data-driven signals on your job's competitivenessHigh due to strong employer brand, remote flexibility, popular data-engineer title, and metro location.
High because Palantir Foundry and enterprise data-platform expertise limit cross-industry transferability.
High because Palantir Foundry expertise and specific data engineering tools are mandatory filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, create, and maintain optimal data pipeline architecture using Palantir Foundry tools including scheduling, monitoring, and configuring alerts for data pipeline health.
Develop and implement enterprise data-centric solutions such as Data Lakes, Data Warehouses, and Data Lakehouses, incorporating data governance design.
Lead architecture and solution design for Cloud Data Analytics Platforms leveraging Palantir, Microsoft Azure, AWS, Snowflake, Google Cloud, and implement related analytics and reporting.
Minimum Requirements
Experience in DevOps, Infrastructure as Code, DataOps, MLOps, data warehousing, data modelling, and enterprise data integration.
Proficient with ETL tools especially Talend or similar, extensive SQL scripting and tuning experience for relational databases (PostgreSQL, Oracle, SQL Server, MySQL) and NoSQL databases like MongoDB.
Programming skills in Python, Pyspark, JavaScript, Java, or Scala.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Demonstrates strong expertise in Palantir Foundry platform and its tools (Ontology, Contour, Object-explorer, Ontology-Manager, Code workbook, Foundry ML).
Experienced in designing and implementing data governance and enterprise data architectures in multi-cloud environments.
Capable of translating business requirements into scalable, maintainable data-centric technical solutions with focus on data engineering and analytics.