Data governance architect
Impetus
2 - 5 years
Bengaluru
Posted: 13/03/2026
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Job Description
Locations- Noida/Gurgaon/Indore/Bangalore/Pune/Hyderabad
Job Description
Required Skills & Qualifications
- 10+ years of experience in Data Governance
- Strong understanding of data governance concepts (ownership, stewardship, metadata, lineage, policies).
- Experience with data quality frameworks and monitoring.
- Knowledge of data security, privacy, and compliance principles.
- Ability to translate business requirements into governance rules and standards.
- Strong stakeholder management and communication skills.
Roles & Responsibilities
Data Governance Architect: R&R
- Define and implement the Data Governance strategy, operating model, and framework (policies, standards, procedures).
- Establish data ownership, stewardship roles, and accountability across business and technical teams.
- Lead data quality management initiatives (profiling, completeness, accuracy, consistency, timeliness).
- Create and maintain data standards, definitions, and a common business glossary.
- Define data classification and ensure appropriate controls for sensitive data (PII/PHI/confidential).
- Design and support metadata management, data lineage, and data catalog adoption.
- Ensure compliance with internal controls and external regulations (as applicable).
- Define data access and usage controls, including role-based access and approval workflows.
- Support governance for enterprise reporting (e.g., Book of Business, Data Completeness, KPI dashboards).
- Partner with engineering teams to ensure governance is embedded into data pipelines and architecture.
- Create governance metrics, dashboards, and reporting for leadership visibility.
- Drive issue management processes for data defects including root cause analysis and remediation tracking.
- Provide guidance on governance best practices during new system implementations and migrations.
Preferred Skills:
- Experience with tools like Collibra, Alation, Atlan, Azure Purview (any relevant tool).
- Knowledge of cloud data platforms (AWS / Azure / GCP).
- Good to have Databricks Unity Catalog experience
- Experience working with data warehouses/lakes and BI reporting tools.
- Familiarity with Agile delivery and SDLC processes.
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