Dotflick Solutions - Data Governance Engineer - SQL/Business Intelligence (2-18 yrs)

Role : Data Governance Engineer

Job Description :

- Participate in establishing data/database standards, defining best practices for data management, defining requirements for governance frameworks/policies such as Retention, PII handling, RBAC etc.

- Conduct regular audits to ensure set standards are adhered to and ensure compliance to data governance policies

- Work closely with data stewards to assist in publishing assets to the data catalog

- Management of metadata, business glossaries

- Managing, configuring, and monitoring data governance platform/data observability platform

- Assist stakeholders in data quality management / data observability platform

- Integrate different tools/tech stack with data governance & data observability platform

- Understand and interact with various business and technical stakeholders that play a role in data governance and propagate data governance practices

- Drive adoption of data catalog

- Develop, monitor and analyze data governance metrics to establish base lines and measure success as the program continues

- Promoting a data-driven culture across the organization

- Execute other data governance-related activities, as assigned

- Strong knowledge of data governance best practices, policies, and procedures

- Proficient in SQL

- Experience working with Business Intelligence Platforms (Looker, Tableau), Redshift, Snowflake, AWS, DBT

- Must have worked with any Data Governance Platforms/Data Catalog such as (Alation, Atlan, Collibra)

- Experience with any Data Observability/Data Quality platform such as Monte Carlo, Soda, Databand, Bigeye, Acceldata, Datafold

- Excellent communication skills and ability to work collaboratively with cross-functional teams

- Strong analytical, technical, and problem-solving skills

Technical Skills :

- Lead the technical implementation of data governance policies and procedures.

- Strong technical expertise in data management, data quality, data lineage, data glossary, data classification and data security.

- Work closely with data stewards, data owners, and IT teams to align technical solutions with governance objectives.

- Develop and implement data quality frameworks and standards.

- Execute and automate data quality checks, ensuring the accuracy and reliability of organizational data.

- Monitor and assess data security risks, implementing corrective measures as needed.

- Collaborate with data custodians to implement security measures for data protection.

- Administer and configure data governance tools and platforms.

- Define Data Stewardship SOP and Data Governance policy based on best practices.

- Document technical aspects of data governance policies and procedures.