Data Integrity Specialist

Role Overview

This position focuses on ensuring enterprise data remains accurate, reliable, consistent, and secure by instituting robust data integrity controls, actively monitoring data quality, and backing governance efforts throughout the organization.

The key responsibilities include validating data accuracy, detecting inconsistencies, performing reconciliation processes, enforcing data standards, and ensuring adherence to company policies as well as regulatory standards.

Collaboration & Support

The specialist will partner with various stakeholders such as business users, data engineers, DB administrators, IT, QA, compliance, and analytics teams to troubleshoot data issues, enhance data quality, and reinforce enterprise data management best practices.

Additional Duties

• Conducting data audits and tracking crucial quality metrics.
• Maintaining metadata and comprehensive documentation.
• Assisting master data management (MDM) initiatives.
• Investigating root causes of data anomalies and implementing corrective measures.
• Driving ongoing improvements in data integrity processes to enable accurate, data-backed decision making.

Qualifications and Skills

• Bachelor's degree in fields such as Data Analytics, Information Systems, Computer Science, Business Analytics, Statistics, Mathematics, Business Administration, or related disciplines.
• Demonstrated experience in data integrity, quality management, data governance, MDM, database administration, BI, or data analysis roles.
• Firm grasp of data governance frameworks, lifecycle management, validation, reconciliation, metadata and lineage management, and best practices in enterprise data quality.
• Proficiency in SQL and experience working with relational databases, data warehouses, ETL/ELT tools, and integration technologies.
• Experience with data quality and governance platforms like Informatica, Collibra, Microsoft Purview, Talend, Alation, Ataccama, SAP MDG, or comparable enterprise tools.
• Knowledge of cloud data environments such as AWS, Microsoft Azure, Google Cloud Platform, Snowflake, BigQuery, or Azure Synapse Analytics is highly valued.
• Familiarity with regulatory standards (GDPR, ISO 27001, DAMA-DMBOK, GxP, 21 CFR Part 11, HIPAA, etc.) adds advantage.
• Strong analytical abilities, troubleshooting, problem-solving skills to diagnose data discrepancies and establish corrective and preventive actions.
• Excellent communication and stakeholder management capabilities to effectively coordinate with technical, business, compliance, and operational teams.
• Experience aiding data audits, compliance checks, system transitions, ERP deployments, reporting validation, and enterprise governance is desirable.
• Professional certifications such as CDMP, Microsoft Azure Data Fundamentals, Fabric Data Engineer Associate, DAMA credentials, or related qualifications are considered a plus.
• A detail-oriented, quality-driven professional committed to maintaining trusted corporate data and enhancing governance and compliance frameworks to support operational excellence and informed strategic decisions.