Own the end-to-end data strategy supporting long-term transmission and generation planning, capacity expansion, reliability assessment, and scenario analysis
Job Summary
Own the end-to-end data strategy supporting long-term transmission and generation planning, capacity expansion, reliability assessment, and scenario analysis.
Drive the design of robust, auditable, and reproducible data models, ensure scalable execution of large multi-scenario planning studies, and lead the responsible adoption of AI to enhance insight, explainability, and decision-making.
Operate at the intersection of software engineering, power system planning, data architecture, and applied AI, partnering closely with product teams, domain experts, and customer-facing organizations.
Matching Summary
Own the end-to-end data strategy supporting long-term transmission and generation planning, capacity expansion, reliability assessment, and scenario analysis.
Skills & Requirements
Must-have
Data architecture and reporting strategy
Data models and schemas design
Data versioning, lineage, and reproducibility
Large-scale analytical systems experience
Python and SQL in enterprise systems
Technical leadership across teams
Nice-to-have
Grid planning and power system simulation
Cloud-based data platforms
AI/ML production systems
Systems-thinking mindset
Building trusted, high-impact software
Key Requirements
10+ years of experience in data engineering, data architecture, platform engineering
Bachelor's or Master’s degree in relevant discipline
Strong hands-on experience with Python and SQL
Proven expertise in designing and maintaining robust data models
Experience with large-scale analytical, simulation, or optimization-driven systems
Demonstrated ability to provide technical leadership