Principal Data Engineer - Location Flexible
About The Position
The Principal Data Engineer serves as a principal technical leader responsible for shaping, designing, and advancing enterprise-scale data infrastructure and data engineering solutions. This role leads the most complex and high-impact data and analytics initiatives, requiring deep technical expertise, broad system influence, and strong cross-functional collaboration. The role provides thought leadership on data architecture, data quality, metadata management, and platform scalability. While not a people manager, the Principal Data Engineer forms and leads virtual teams, mentors engineers, and drives departmental standards and best practices. The selected candidate must live within PG&E’s service territory.
Requirements
- Bachelor’s degree in Computer Science, MIS, or related field of study, or equivalent experience.
- 10 years of experience with multiple data engineering/ETL ecosystems such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.
- Experience with multiple data engineering/ETL ecosystems.
- Proven track record of successfully implementing data warehouses/data lakes over previous five years.
- Experience leading development teams.
- 3 years of experience in machine learning algorithm deployment and machine learning operations.
Nice To Haves
- Master’s degree in Computer Science or related discipline.
- Experience leading technical teams and enterprise-scale initiatives.
- Experience supporting machine learning operations.
- Excellent verbal and written communication skills, including strong presentation capabilities.
- Customer service orientation with the ability to collaborate effectively across departments.
- Good analytical and strategic decision‑making ability.
Responsibilities
- Forms and leads cross-functional teams to address complex, enterprise-level data and analytics problems with broad business impact.
- Designs and advances enterprise data infrastructure ensuring scalability, reliability, and data quality.
- Partners with business units to translate complex requirements into integrated data solutions.
- Drives the development of departmental data engineering standards and best practices.
- Leads continuous improvement initiatives including performance optimization and automation.
- Provides hands-on guidance for complex, multi-platform technical challenges.
- Supports advanced analytics and machine learning deployment at scale.
- Mentors engineers and supports technical capability development across teams.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
