Senior Data Quality Engineer

Responsibilities

• Architect and implement an enterprise data quality framework including validation rules, acceptance thresholds, exception handling, and escalation workflows across Bronze, Silver, and Gold layers.
• Design and deliver source-to-target reconciliation processes and regression test suites to support certification of curated datasets.
• Build automated data validation pipelines using Azure Data Factory (ADF) and Microsoft Fabric.
• Integrate data quality, lineage, and governance standards into Microsoft Purview for enterprise-wide visibility.
• Create observability solutions to track data health metrics, rule pass/fail rates, reconciliation variance, and exception volumes.
• Establish data quality rule taxonomy (completeness, accuracy, consistency, timeliness, uniqueness) and maintain as a living standard.
• Define certification and production-readiness processes in collaboration with engineering and business teams.
• Create exception management workflows including triage, ownership, SLAs, and remediation strategies.
• Conduct root cause analysis for systemic data issues and implement preventative controls.
• Partner with stakeholders across data engineering, product, and business teams to ensure adherence to quality standards.
• Participate in a three-phase interview process (two virtual, one onsite).

Qualifications

• 5+ years of experience building or leading data quality frameworks in enterprise data environments.
• Strong experience with Microsoft Fabric (Lakehouse, Data Pipelines, OneLake) and Azure ecosystem.
• Advanced SQL skills with expertise in data profiling, reconciliation, and anomaly detection.
• Hands-on experience with Python for data validation and quality automation.
• Experience working with data governance tools such as Microsoft Purview.
• Background supporting financial systems (loan servicing, GL, portfolio management) strongly preferred.
• Experience with data observability tools (e.g., Great Expectations, Soda, Deequ, Monte Carlo) is a plus.
• Knowledge of audit controls, compliance, and regulatory data environments (e.g., SOX).
• Strong communication skills with the ability to translate technical findings into business context.
• Proven ability to work in fast-paced, agile environments and build scalable processes from the ground up.

Pay

Salary range: $130,000 - $140,000

Benefits

• Comprehensive benefits package including medical, dental, vision, 401(k), and PTO