Southern California Edison (SCE) is seeking a Capital Planning, Data Engineering Senior Advisor to help shape how the organization leverages data to drive smarter, faster infrastructure investment decisions. The role aims to design and build robust APIs and ETL pipelines that connect data across systems like Copperleaf, Palantir, and SPEED, empowering the Integrated Grid Planning & Execution (IGPE) process. The goal is to transform complex, siloed information into actionable insights that fuel strategic capital planning and influence enterprise tools and processes at the core of the grid’s transformation.
Requirements
- Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major
- Ten or more years of experience in data processing large data sets, hands-on with data transformation, aggregation, and filtering
- Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms
- Familiarity with systems like Copperleaf, Palantir Foundry, Snowflake, SAP, Oracle or similar platforms
- Understanding of cloud-based data storage and architecture and experience working in hybrid environments transitioning from on-prem to cloud
- Proven ability to implement data validation, metadata management, and ensure consistency and accuracy across systems
- Experience working in the electric utility industry or with infrastructure investment planning
Responsibilities
- Conceptualizes and owns the data architecture on behalf of the energy team in collaboration with data science and engineering teams
- Improves performance by optimizing computing time to process the streaming data and saves cost to company by optimizing cluster run time
- Identifies opportunities for building of value-added datasets to facilitate realization of enterprise use cases and for optimizing cloud costs
- Establishes transactional data orchestration, data lake, reporting platform strategy and roadmap formulation for data intensive enterprise transformation programs
- Delivers metadata management implementation to improve data governance maturity and data ownership
- Oversees data platform to ensure that the service delivery is efficient and business SLAs around uptime, performance and capacity are met
- Designs Enterprise Data Lake to provide support for various uses cases including Analytics, processing, storing, and reporting of voluminous, rapidly changing data
Other
- Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major
- Master’s Degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Data Science, or related technical field
- Additional certifications such as Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.
- Experience working collaboratively with cross-function stakeholders such as IT, Engineering, Planning and business teams to gather requirements and deliver tailored data solutions
- Experience managing priorities across multiple initiatives and delivering results within tight deadlines
