Data Quality & Governance Architect

Capgemini; San Francisco (CA); Presencial; USD 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Descripción de la vacante

Tundra Technical Solutions looks for a Senior Data Governance Analyst to support bank data governance as data moves through Databricks and EDH processes. This hands‑on, stakeholder‑facing role connects business needs with governance and data quality work.

You will participate in sessions, clarify requirements, define quality checks, and coordinate with business, technology, and delivery teams to implement solutions.

Formación

• Approximately 5–7 years of relevant experience in data governance, data quality, or data management.
• Strong SQL skills and practical experience with Python or data‑related automation.
• Understanding of data flows, metadata, data quality, and access governance.

Responsabilidades

• Work with business and technology stakeholders to understand data sources, data flows, and how data is used in business processes.
• Help define data quality expectations and rules for both business and technical needs.
• Use SQL and Python to profile data, investigate issues, and implement data quality checks or automation.
• Support data access governance across EDH and Databricks, including identifying opportunities to automate workflows.
• Support governance capabilities in Databricks Unity Catalog, such as access controls, cataloging, metadata, and lineage.
• Work with Atlan and other governance tools as needed.
• Participate in stakeholder calls, document decisions and action items, and follow through with owners.
• Coordinate with offshore delivery resources on implementation and execution.

Conocimientos

SQL

Python

data governance

data quality

stakeholder communication

Herramientas

Databricks

Unity Catalog

Atlan

APIs

Descripción del empleo

Tundra Technical Solutions looks for a Senior Data Governance Analyst to support bank data governance as data moves through Databricks and EDH processes. This hands‑on, stakeholder‑facing role connects business needs with governance and data quality work.

You will participate in sessions, clarify requirements, define quality checks, and coordinate with business, technology, and delivery teams to implement solutions.