Hello ,
Greetings of the day!
We have an exciting job opportunity for the position of Technical Product Manager with one of our esteemed clients.
Based on your experience, I believe this could be a great fit for you.
If you’re interested, please share your latest resume with me at
Also, if you know someone who might be a good fit and is currently exploring opportunities, referrals are highly appreciated!
Job Title : Technical Product Manager
Location : Oakland, CA (Onsite 1day a week)
Duration : Contract
Note :
- 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.
Qualifications
5–10+ years of project / program management or product ownership, with 3+ years specifically in data or analytics projects.Familiarity with modern data platforms (Snowflake, BigQuery, Redshift, Databricks) and ETL / ELT tools (Informatica, dbt, Airflow, Fivetran, etc.).Strong grasp of Agile / Scrum and hybrid project / product management methodologies.Hands-on experience with Jira, Confluence, Smartsheet, or equivalent tools.Exceptional communication, stakeholder management, and problem-solving skills.Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s a plus). PMP, CSM, or Agile certifications preferred.Preferred Skills
Experience working in federated data engineering teams or with data product frameworks.