Description

You own the strategy, planning, and execution of data quality initiatives for critical datasets.

Responsibilities

• Define and implement data quality frameworks, standards, and controls for critical and data product assets.
• Apply data quality rules and anomaly detection using platforms like Ataccama.
• Design operational checks and reconciliation processes for in-line data validation.
• Work with data consumers and product teams to embed quality controls into data pipelines.
• Monitor data quality metrics, conduct root cause analysis, and drive remediation planning.

Required Skills

• 5+ years of experience in data quality management principles and tooling.
• Strong knowledge of Data Architecture and governance frameworks (e.g., DCAM).
• Proven ability to design and implement data profiling, anomaly detection, and reconciliation processes.
• Experience with Ataccama or similar data quality platforms.
• Familiarity with regulatory compliance requirements for critical datasets.
• Excellent communication skills for engaging technical and business stakeholders.
• Ability to work effectively within agile squads.

Preferred Skills

• Experience in banking or financial services dealing with regulatory reporting.
• Hands-on experience with data cataloging, lineage, and critical data element management.

Key Skills

Education

Any Gradute