Senior Data Quality Engineer

Piper Companies is seeking a Senior Data Quality Engineer to join a leading financial services organization in Bethesda, MD. The Senior Data Quality Engineer will play a foundational role in modernizing the enterprise data platform, building and owning a comprehensive data quality framework across Azure, Microsoft Fabric, and Python-based pipelines. This position will be hybrid 4 days per week in Bethesda, MD! 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. Develop 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. Compensation Salary range: $130,000 - $140,000 Comprehensive benefits package including medical, dental, vision, 401(k), and PTO #J-18808-Ljbffr Piper Companies