Data Engineering Leader

Qualifications:

• Strong data ecosystem background: experience leading data products or data warehousing initiatives.
• Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands‑on coding expected but must be able to engage deeply with engineers and "know what they are talking about."
• Primary data warehouse platform:
  Snowflake.
• Broader big data background acceptable if not purely Snowflake (e.g., Databricks, Big Query, Redshift).
• Current ETL tool:
  Informatica; hands‑on Informatica expertise is not required.
• Analytics/visualization not in scope;
  Power BI knowledge is a nice‑to‑have, not mandatory.

• Titles vary across industry: product owner (PO), project manager, scrum master, TPM; at PG&E, similar roles may be labeled "product managers."
• Not seeking a pure scrum master or a typical external‑facing PO who only writes requirements.
• Role must interface with both business and engineers; expected to work directly with engineering teams.
• Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.