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Join the Clean Energy Revolution

Become a Capital Planning, Data Engineering Senior Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll play a critical role in shaping how the organization leverages data to drive smarter, faster infrastructure investment decisions. This technical leader will 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. With a focus on data integration and automation, the Senior Advisor will transform complex, siloed information into actionable insights that fuel strategic capital planning. It’s a high-impact opportunity to influence enterprise tools and processes at the core of the grid’s transformation.

As a Capital Planning, Data Engineering Senior Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

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

+ Designs and develops end-to-end data pipelines for the organization, resulting in improved data quality and reduced data processing time

+ Supports Data Scientists with their development of predictive and other models, with respect to large scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning and deep learning

+ Contribute to data dictionary and data mapping from sources to the target in SCIM Data Model

+ A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

Minimum Qualifications

+ 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.

Preferred Qualifications

+ 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.

+ 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

+ 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

Additional Information

+ This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.

+ Visit our Candidate Resource (https://www.edisoncareers.com/page/show/candidate-resources) page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!

+ Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

+ Relocation does not apply to this position.

About Southern California Edison

The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.

We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.