OKAYA INFOCOM · 1 day ago
Foundry Data Engineer / Architect
OKAYA INFOCOM is seeking a skilled Palantir Foundry Data Engineer / Architect to design, implement, and optimize data solutions for the utility industry. The role involves building data pipelines, ensuring data quality, and collaborating with cross-functional teams to support advanced analytics and operational insights.
Responsibilities
Build and optimize ETL workflows in Palantir Foundry for ingesting data from SCADA, AMI, GIS, OMS, and ERP systems
Develop scalable pipelines for real-time sensor data and IoT streams
Implement data transformations and enrichment to support analytics and reporting
Integrate structured and unstructured data sources into Foundry
Automate data ingestion and validation processes to ensure accuracy and timeliness
Collaborate with IT and OT teams to bridge operational and enterprise data systems
Monitor and maintain data integrity across all pipelines
Apply data governance standards and ensure compliance with NERC CIP, FERC, and state regulations
Implement robust security and access controls within Foundry
Work closely with data scientists, analysts, and business teams to deliver reliable datasets for predictive analytics and reporting
Provide technical support and documentation for Foundry workflows
Optimize workflows for high-volume, high-velocity data
Troubleshoot and resolve pipeline failures and performance bottlenecks
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
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
Establish data governance standards, access controls, and compliance frameworks
Ensure adherence to regulatory requirements (GDPR, CCPA, etc.) and internal policies
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
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
Qualification
Required
Hands-on experience with Palantir Foundry development and data integration
Strong proficiency in Python, SQL, and Foundry-specific frameworks
Knowledge of utility data systems (SCADA, AMI, GIS, OMS)
3+ years in data engineering or related roles, preferably in utilities or energy sector
Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes)
Strong problem-solving and analytical skills
Ability to work in cross-functional teams and communicate effectively
Proven experience with Palantir Foundry architecture and development
Strong understanding of data modeling, ETL processes, and distributed systems
5+ years in data architecture or related roles
Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
Excellent problem-solving and analytical skills
Strong communication and stakeholder management abilities
Preferred
Experience with real-time data streaming technologies (Kafka, Spark)
Knowledge of grid modernization, DER integration, and renewable forecasting
Certifications in Palantir Foundry or data engineering
Experience with data governance frameworks and security best practices
Familiarity with machine learning workflows and data science integration in Foundry
Certifications in Palantir Foundry or related technologies