Posted on: 25/07/2025
About Us :
5000, Best IT Services Company, Best Data Technology Company, and Partner of the Year with Tricentis.
Our Vision :
To be an expert in AI, Data, Cloud and Quality Engineering transformations, bold in our thinking and authentic in our relationships.
Responsibilities :
- Design and Implement data quality management, metadata standardization, and stewardship processes across different data domains.
- Create and enforce data governance rules including taxonomy, reference data standards, lineage capture, and data masking/tokenization/encryption.
- Set up operational model : metadata ingestion pipelines, business glossary/dictionary, stewardship and ownership governance structure.
- Manage stakeholder alignment across IT, legal, privacy, compliance, data stewards, and business teams - conduct training, governance workshops, and audits.
- Support compliance with regulations such as GDPR, HIPAA, CCPA, and evolving Indian regulations under the Digital Personal Data Protection Act.
- Lead technical team delivery on roadmap milestones, monitor DG KPIs, and guide adoption of governance tools and processes.
Required Experience & Skills :
- Proven hands-on experience with key DG platforms : Collibra, Informatica, Alation, etc.
- Strong technical skills in scripting (Python, SQL), metadata/configure pipelines, automation, data engineering or ETL/ELT flows.
- Experience in establishing and monitoring data quality metrics, conduct data profiling, audits, and root-cause analysis to drive improvements.
- Working knowledge of cloud environments and integration practices (AWS, Snowflake, databases).
- Understanding of SDLC, Agile methods, Jira/Confluence, DevOps & data platform operations.
- Exceptional stakeholder management, communication, and leadership abilities to coordinate across cross-functional teams.
- Educate stakeholders through workshops, training, and governance councils; manage governance awareness campaigns.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1519765
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