Lead data quality assessment and profiling initiatives to identify and resolve data inconsistencies, inaccuracies, and anomalies across multiple systems.
Define, implement, and monitor data quality standards, policies, and metrics aligned with business goals and regulatory requirements.
Collaborate closely with data owners, stewards, and engineering teams to remediate data quality issues and drive continuous improvement efforts.
Develop and automate data quality validation processes using industry-leading tools like Collibra, Ataccama, and Manta.
Ensure comprehensive documentation and reporting of data quality status, trends, and remediation activities for stakeholders at all levels.
Support and enhance enterprise data governance programs by embedding strong data quality practices and promoting data stewardship.
Skills and attributes for success
Experience: 3 to 8 years
Hands-on experience with data quality and profiling tools such as Collibra , Ataccama , and Manta
Strong knowledge of data quality concepts, techniques, and best practices
Proficiency in SQL and experience with data profiling queries and scripting
Familiarity with data governance frameworks and metadata management
Understanding of ETL processes, data warehousing, and big data environments
Excellent analytical and problem-solving skills with a keen eye for detail
Strong communication skills, able to effectively engage technical and business stakeholders
Experience working in Agile delivery environments (preferable)
To qualify for the role, you must have
Be a computer science graduate or equivalent with 3 to 8 years of industry experience
Demonstrated success in delivering enterprise-grade data quality solutions and initiatives
Ability to translate complex data quality challenges into scalable technical solutions considering security, performance, and compliance
Strong organizational skills and ability to manage multiple priorities in a dynamic environment
Excellent communicator (written and verbal, formal and informal)
Experience in client management and stakeholder engagement
Lead data quality assessment and profiling initiatives to identify and resolve data inconsistencies, inaccuracies, and anomalies across multiple systems.
Define, implement, and monitor data quality standards, policies, and metrics aligned with business goals and regulatory requirements.
Collaborate closely with data owners, stewards, and engineering teams to remediate data quality issues and drive continuous improvement efforts.
Develop and automate data quality validation processes using industry-leading tools like Collibra, Ataccama, and Manta.
Ensure comprehensive documentation and reporting of data quality status, trends, and remediation activities for stakeholders at all levels.
Support and enhance enterprise data governance programs by embedding strong data quality practices and promoting data stewardship.