Senior Data Quality Engineer

Role Overview

• Design and implement end-to-end data quality frameworks, including profiling, cleansing, validation, and monitoring across enterprise data assets
• Deploy and administer Ataccama DQ and MDM capabilities to enforce data quality rules, lineage tracking, and issue resolution workflows
• Configure and manage Master Data Management (MDM) solutions using Reltio to create and maintain golden records for critical business entities such as customers, products, and vendors
• Build and maintain data quality pipelines in Snowflake and AWS cloud environments, leveraging native features for scalable quality checks and anomaly detection
• Develop and maintain SQL-based data quality rules, reconciliation queries, and automated validation scripts across structured and semi-structured data sources
• Integrate AI and machine learning capabilities via AWS Bedrock and Agentic AI frameworks to enable intelligent, self-healing data quality processes and automated root cause analysis
• Define and track data quality KPIs and SLAs; produce dashboards and reports to communicate quality health to business and technology stakeholders
• Partner with data governance, data engineering, and business teams to establish enterprise data standards, taxonomies, and ontologies
• Lead data quality issue triage, root cause analysis, and remediation efforts in collaboration with upstream data owners and platform teams
• Support CI/CD practices for data quality rule deployment, version control, and automated regression testing
• Contribute to the development of data qualities policies, standards, and best practices documentation
• Champion a culture of data trust across the organization through training, evangelism, and hands-on enablement of data consumers and producers

Requirements

• 5–7 years of experience in data quality engineering, data management, or a closely related data engineering discipline
• Strong proficiency in SQL/Python for data analysis, quality rule development, and reconciliation across relational and cloud-native databases
• Hands-on experience with Ataccama ONE or Ataccama DQ for data profiling, quality rule authoring, workflow management, and MDM integration
• Demonstrated experience implementing and managing Master Data Management solutions, with specific expertise in Reltio preferred
• Experience working in AWS cloud environments; familiarity with AWS services relevant to data quality and governance (S3, Glue, Lambda, Step Functions)
• Proficiency with Snowflake, including data quality patterns, dynamic data masking, and leveraging Snowflake’s native data quality features
• Familiarity with AWS Bedrock, Claude Code, Codex and experience applying generative AI or Agentic AI frameworks to automate or augment data operations workflows
• Solid understanding of data governance principles, data cataloging, metadata management, and data lineage concepts
• Experience with data quality metrics definition, SLA management, and executive-level reporting on data health
• Ability to work collaboratively with business users, data stewards, and technical teams to gather requirements and deliver data quality solutions
• Strong adherence to software engineering best practices including version control (git), modular code design, Agile methodologies, and CI/CD pipelines
• Ability and willingness to quickly learn emerging data quality technologies and adapt to an evolving enterprise data landscape
• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field; equivalent practical experience will be considered

Tech Stack

• AWS
• Cloud
• Python
• SQL

Benefits

• robust health insurance plans, including Medical, Dental, and Vision coverage
• 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%
• Paid Parental Leave
• Associate Assistance Plan
• Education Assistance Program
• up to $30,000 in Adoption Assistance
• up to three weeks of vacation annually
• generous Holiday, Sick Leave, and Personal Day policies
• New Hire Referral Bonus Program
• significant Home Purchase Discounts
• Everyone’s Included Day