Data Engineering, Advisor

Become a Data Engineering Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll serve as a strategic technical leader responsible for enabling Grid modernization, operational intelligence, data-driven decision making and AI adoption across SCE. Your objective is to drive adoption of the Grid Data Platform while guiding its continuous improvement and evolution to meet SCE’s changing business and technology needs.

As a Data Engineering 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?

• Manages and scales data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
• Facilitates data engineering activities covering data acquisition, extraction, normalization, transformation, management, and manipulation of large and complex data sets.
• Keeps abreast of new and current data engineering, big data and data science techniques. Researches methods, techniques, and new practices; develops and promotes data engineering best practices, standards and guidelines.
• Works closely with subject matter experts to design and develop front-end applications with data models and data pipelines supporting the applications.
• Provides governance and oversight of data assets, data environments and relevant data procedures, with the proactive planning and enforcement of data asset naming conventions.
• Builds and maintains data pipelines using big data processing technologies to process and analyze large datasets; uses ETL processes on the internal cluster.
• Develops and maintains data warehouse schema and data models, ensuring data consistency and accuracy.
• Ensures ongoing alignment of technical and business strategies based on changing business and technology drivers and risks.
• Creates advanced visualizations and tools to provide insight, drives action, and supports work throughout the business.
• Identifies and designs Data-as-a-Service candidates for improved data availability and consumption.
• 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.

• Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major.
• Seven or more years of experience in data processing large data sets, hands-on with data transformation, aggregation, and filtering.

• Seven or more years of experience designing, implementing, and supporting enterprise-scale data platforms, data lakes, lake houses, data fabrics, or modern analytics ecosystems.
• Experience leading the architecture, engineering, and operationalization of large-scale data platforms supporting utility, energy, critical infrastructure, or operational technology (OT) environments.
• Experience establishing Data Ops, Dev Sec Ops , and CI/CD practices for data engineering teams
• Knowledge of utility regulatory, cybersecurity, and compliance requirements, including NERC-CIP, data privacy, and critical infrastructure protection principles.
• Experience serving as a technical leader for cross-functional initiatives involving Grid Operations, Asset Management, Cybersecurity, Information Technology, and enterprise data organizations.

• This position’s work mode is hybrid. The employee will report to an SCE…