Sr. Data Quality Analyst

Role Overview

We are seeking a Sr. Data Quality Analyst to support enterprise data modernization, analytics, and AI initiatives. This role is responsible for ensuring data is accurate, complete, consistent, and trusted throughout the data lifecycle. The analyst will work with business stakeholders, data modelers, data engineers, and analytics teams to identify, investigate, and remediate data quality issues while improving confidence in enterprise data assets. The successful candidate will help establish repeatable processes and controls that improve data integrity.

Key Responsibilities

• Design, implement, and maintain enterprise-wide data quality frameworks, standards, and controls.
• Develop automated validation processes to ensure data integrity across Bronze, Silver, and Gold layers of a medallion architecture.
• Perform data profiling and analysis to assess data accuracy, completeness, consistency, and validity.
• Identify, investigate, troubleshoot, and conduct root cause analysis of data quality issues.
• Create and maintain data quality scorecards, metrics, dashboards, and monitoring solutions.
• Perform source-to-target validation and data reconciliation to ensure data integrity.
• Validate data movement and transformations across the Databricks and Snowflake medallion architecture.
• Collaborate with Data Modelers, Data Engineers, and Business Stakeholders to define and document data quality requirements and rules.
• Support metadata management, data lineage, and master data management (MDM) initiatives.
• Recommend and implement process improvements to increase quality and reduce operational risk.

Required Qualifications

• 8+ years of experience in Data Quality, Data Governance, Data Warehousing, Data Analytics, or related disciplines.
• Strong understanding of enterprise data management principles and best practices.
• Hands-on experience supporting data quality initiatives within Databricks and Snowflake environments.
• Experience validating data within a medallion architecture (Bronze, Silver, Gold layers).
• Strong proficiency in SQL, Snowflake, and Databricks (Spark SQL).
• Experience with Azure DevOps, Data Profiling, Data Validation, Data Quality Monitoring, Metadata Management, and Data Lineage.
• Experience creating and maintaining data quality dashboards and reporting metrics.
• Strong analytical, troubleshooting, and root cause analysis skills.
• Excellent communication and stakeholder management abilities.

Preferred Qualifications

• Experience with SAP, Oracle, or other ERP systems.
• Experience implementing Data Governance and MDM frameworks.
• Experience with data quality tools such as Informatica Data Quality, Ataccama, Collibra, Alation, Monte Carlo, or Great Expectations.
• Experience supporting AI or machine learning solutions through trusted data products.
• Background in engineering, construction, manufacturing, utilities, energy, or infrastructure environments.
• Program or project management experience supporting enterprise data initiatives.

Benefits

• Supplemental benefits including medical, dental, vision, life, disability, and other insurance plans
• Employee Stock Purchase Program (ESPP)
• 401K program with company match after 12 months of tenure
• Health Savings Account (HSA) on the HDHP plan
• SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
• Corporate discount savings program and other discounts
• On-demand training program
• Access to certification prep and a library of technical and leadership courses/books/seminars after 6+ months of tenure
• Certification discounts and perks to associations including CompTIA and IIBA
• Dedicated customer service team for Consultants
• Certified Career Coach