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Palantir Foundry Data Architect
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-01-12
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
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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