Data Governance Tech Lead

Request Technology

Full-time - Mid Level

Administrative and Support Services

About the position

The Data Governance Tech Lead is responsible for overseeing the implementation and management of data governance practices within the organization. This role involves working closely with both business and technical stakeholders to ensure data quality, metadata management, and data lineage across various data sources. The position requires a strong background in data governance tools and methodologies, as well as experience in the financial services industry.

Responsibilities

• Create, develop, configure and execute end to end business and technical data lineage across disparate sources.
• Work with business and technical SMEs/developers to understand application system/technical design and create data flow diagrams/data mappings.
• Ingest metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, and custom metadata assets.
• Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments.
• Design, Build and Execute Data Quality Rules over the CDEs identified according to business needs to ensure clean and healthy data.
• Manage Data Quality Exceptions and assist the team in root cause analysis.
• Implement data governance policies, procedures, controls, and standards.
• Utilize data profiling and data quality tools to analyze and determine causes of data quality issues.
• Design and implement Data Quality Dashboards for monitoring and reporting.

Requirements

• Bachelor's degree
• 7+ years of experience in data governance disciplines including metadata management, data quality analysis, data quality remediation, data profiling, and data lineage.
• Experience with Data Governance tools such as Collibra, IBM Infosphere Information Server Suite, or Informatica.
• Proficient with SQL.
• Experience with Databases (e.g., Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools.
• Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog, and data dictionary.
• Experience with Business Intelligence/Reporting tools such as Tableau or Cognos.
• Financial Services industry experience.
• DAMA certification (preferred).

Benefits

• Competitive salary
• Bonus structure
• Hybrid work model (3 days onsite, 2 days remote)