| Job Description: |
Responsibilities: - Design, develop, and support Palantir Foundry pipelines, transforms, and data models using Spark SQL, PySpark, and Python
- Build and enhance Foundry applications and dashboards using Slate, Contour, SQL, JavaScript, and CSS
- Support inbound and outbound data integrations (file‑based, API‑based, and database‑based)
- Perform data analysis, issue diagnosis, and remediation for data quality, data restoration, and reporting discrepancies
- Ensure end‑to‑end data quality, lineage, and integrity within Palantir Foundry
- Provide production support during normal operations and peak PSPS activation periods
- Respond to and resolve business‑reported issues, defects, and enhancement requests in a timely manner.
- Participate in on‑call / extended support as required during critical utility events
- Produce and maintain technical documentation, including data flow diagrams, model control documentation, and code artifacts
- Support knowledge transition and ensure sustainability of the Palantir platform within SCE teams
- Work closely with SCE business users, Data Stewards, SMEs, IT leadership, Infosys delivery teams, and Palantir support
- Translate business needs into actionable Palantir backlog items and deliver solutions aligned to SCE priorities.
Required Qualifications: - Strong Hands‑on experience with Palantir Foundry (pipelines, ontology, data integration, and applications).
- Strong expertise in Python, PySpark, Spark SQL, and data transformation frameworks
- Experience with dashboard and UI development (Slate, SQL, JavaScript, CSS)
- Familiarity with GIS / ArcGIS online (AGOL) integrations and enterprise data platforms
- Prior experience supporting utility, grid modernization, PSPS, or operational analytics programs is strongly preferred
- Proven ability to work in Agile / DevOps delivery models
- Ability to operate independently with minimal reliance on Palantir vendor teams
Nice to have Skills: - Palantir certification or formal Foundry training
- Experience with Snowflake, SAP, or enterprise data warehouses
- Prior experience in incident‑driven or event‑driven operational environments (e.g., outage management)
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