Technical Product Manager (Data Platform)

Oakland, CA, US • Posted 1 day ago • Updated 3 hours ago
Contract W2
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ETL
  • Data warehouse
  • Snowflake

Summary

Technical Product Manager Data Platform

Local to Bay area

1 day onsite @ Oakland office.

Exp: 15+
W2 / C2C
Skills: Snowflake, Data Warehouse and ETL

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.

Role and scope
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.

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90969158
  • Position Id: 2026-4687
  • Posted 1 day ago
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