Required Qualifications :

- Bachelor's/master's degree in information systems, Computer Science, or a related technical field.

- Strong knowledge of data governance, architecture techniques and methodologies and experience in data governance initiatives is must.

- 7 years of minimum experience in data governance architecture and implementation of Data Governance across business enterprise.

- Hands on experience in design and implement architectural patterns for data quality, metadata management, data lineage, data security, and master data management

- Strong hands-on expertise in Collibra (workflows, APIs, metadata integration, policy automation).

- Experience with ETL/ELT pipelines, data lineage capture, and data integration tools.

- Familiarity with data modeling (conceptual, logical, physical).

- Proficiency in SQL, Python/Java for integration and automation.

- Experience with SQL, back end scripting and API's.

- Understanding of data governance principles and compliance practices

- Proficiency in working with cloud platforms (AWS, Azure, or GCP)

- Knowledge of big data technologies (Hadoop/Spark, etc.) and data visualization and BI tools is a plus

- Strong analytical and problem-solving skills

- Excellent communication and stakeholder management abilities

Roles & responsibilities :

- Design, develop, and maintain enterprise-wide data governance architecture frameworks and meta data models

- Establish data governance strategies, policies, standards, and procedures for compliance processes

- Conduct maturity assessments and change management efforts.

- Evaluate and recommend Data governance framework and tools to meet enterprise business needs.

- Design and implement architectural patterns for data catalog, data quality, metadata management, data lineage, data security, and master data management (MDM) across various data platforms (e.g., data lakes, data warehouses, operational databases).

- Create and manage data dictionaries, metadata repositories, and data catalogs

- Architect technical and business metadata workflows and govern glossary approvals and workflows

- Validate end to end lineage across multiple sources and targets

- Design and enforce rules for, classification, Access, Retention and sharing data techniques

- Analyze/ Define the enterprise business KPI's and validate data governance requirements.

- Collaborate with Data Stewards to define technical specifications for data quality rules, validation checks and KPI's reporting.

- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.

- Ensure data compliance with relevant regulations like GDPR,HIPAA,CCPA,SOX etc.

- Excellent communication and ability to mentor and inspire teams.