Position Details
About this role
This lead data engineering role focuses on enterprise ETL/ELT pipeline design, operations, and ongoing maintenance. You will ensure data standards, data quality, and consolidation, and build dashboards using Palantir Foundry for the Unified Data Layer.
Key Responsibilities
- Design, build, and maintain robust data pipelines
- Maintain pipeline schedules and orchestrate workflows with health monitoring
- Create and optimize data connections, datasets, and transformations
- Troubleshoot and resolve data sync issues and ensure correct data flow
- Develop cleansing, consolidation, integration mechanisms and build dashboards in Palantir Foundry
Technical Overview
You will manage data pipeline schedules and orchestration, maintain reliable data connections and transformations, and troubleshoot data sync issues. The environment emphasizes Palantir Foundry, logical data modeling, data cleansing/consolidation/integration, and dashboard/visualization delivery.
Ideal Candidate
The ideal candidate is a lead data engineer experienced with enterprise data life cycle management, including ETL/ELT pipeline operations and data pipeline orchestration. They have strong data quality ownership and can deliver logical data models and dashboards using Palantir Foundry for the Unified Data Layer.
Must-Have Skills
None listed
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor's degree required, Must have experience managing enterprise-level data life cycle processes (ETL/ELT pipelines, data cleansing, consolidation)
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