Technical Engineering Lead
Oakland, CA
Long Term Contract
Core technical expectations
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, BigQuery, 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.
Role and scope
Titles vary across industry: product owner (PO), project manager, scrum master, TPM; at Client''s, 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.
Core technical expectations
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, BigQuery, 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.
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