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Palantir Foundry Data Architect

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Fartech Solutions
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Cloud Computing, Data Security
Job Description & How to Apply Below
Palantir Foundry Data Architect
Fartech Solutions – San Francisco, California, USA

Position:
Palantir Foundry Data Architect

Location:

San Francisco, CA
Duration: 6 months

Employment Type:

Full Time
Vacancy: 1

Skills Need ::
Data Architecture, Palantir Foundry Development, Data Integration (SCADA/AMI/GIS/ERP), ETL/ELT Pipelines, Data Governance & Compliance (NERC/FERC/GDPR/CCPA), API & Workflow Design, IoT/Sensor Data Processing, Performance Optimization, Cross‑Functional Collaboration

Data Architecture Solution Design

• Architect scalable data platforms in Palantir Foundry to support grid operations, outage management, asset health monitoring, and energy forecasting.

• Design workflows and pipelines for real‑time and batch data ingestion from SCADA, AMI, GIS, and ERP systems.

• Ensure compliance with NERC, FERC, and state regulatory standards.

Integration Development

• Integrate diverse data sources (structured, semi‑structured, unstructured) into Foundry.

• Develop custom applications and workflows using Foundry’s APIs and frameworks.

• Collaborate with engineering teams to implement best practices for data ingestion and transformation.

Governance & Compliance

• Establish data governance standards, access controls, and compliance frameworks.

• Ensure adherence to regulatory requirements (GDPR, CCPA, etc.) and internal policies.

Stakeholder Collaboration

• Work closely with business analysts, data scientists, and operations teams to translate requirements into technical solutions.

• Provide technical guidance and mentorship to junior team members.

Performance Optimization

• Monitor and optimize data pipelines for efficiency and reliability.

• Troubleshoot and resolve issues related to data quality, latency, and system performance.

• Optimize data pipelines for high‑volume sensor data and IoT streams.

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