Senior Associate, Data Quality Engineer

About the role

The Data Governance team at Hightower is responsible for establishing and maintaining data quality, governance, and stewardship practices across the firm's enterprise data ecosystem. This role reports directly to the Data Governance Manager and works closely with various teams including Data Product Managers, Data Owners, Data Stewards, Data Engineers, Analytics Engineers, Data Architects, and Reporting teams.

Responsibilities

• Design, configure, test, and deploy data quality rules and monitoring solutions using Collibra Data Quality.
• Develop data profiling, validation, anomaly detection, reconciliation, and monitoring controls for critical data assets.
• Translate business-approved data quality requirements into scalable technical rules and reusable implementation patterns.
• Monitor data quality results, investigate rule failures, perform root-cause analysis, and partner with stakeholders on remediation activities.
• Support integration between Collibra Data Quality, Collibra Data Intelligence Cloud, Snowflake, and dbt-based data products.
• Build and maintain data quality scorecards, dashboards, thresholds, alerts, and operational metrics.
• Document data quality rules, source mappings, dependencies, exception handling processes, and governance requirements.
• Partner with Data Owners, Data Stewards, Product Managers, and Engineering teams to support certified data products and enterprise governance initiatives.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field, or equivalent professional experience.
• 3–5 years of experience in data management, data quality engineering, analytics engineering, or a related technical discipline.
• Hands-on experience developing data quality solutions using Collibra Data Quality (OwlDQ) and strong expertise in advanced SQL.
• Practical experience working with Snowflake, dbt, data profiling, reconciliation, and data validation frameworks.
• Demonstrated ability to convert business requirements into technical data quality rules and actionable monitoring controls.
• Experience conducting root-cause analysis, investigating data defects, and supporting remediation efforts.
• Strong communication and collaboration skills with the ability to present technical concepts to both business and technology stakeholders.

Preferred Experience

• Preferred experience with Collibra Data Intelligence Cloud, Python, data governance frameworks, and financial services environments.

What You’ll Bring

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field, or equivalent professional experience.
• 3–5 years of experience in data management, data quality engineering, analytics engineering, or a related technical discipline.
• Hands-on experience developing data quality solutions using Collibra Data Quality (OwlDQ) and strong expertise in advanced SQL.
• Practical experience working with Snowflake, dbt, data profiling, reconciliation, and data validation frameworks.
• Demonstrated ability to convert business requirements into technical data quality rules and actionable monitoring controls.
• Experience conducting root-cause analysis, investigating data defects, and supporting remediation efforts.
• Strong communication and collaboration skills with the ability to present technical concepts to both business and technology stakeholders.

Benefits

• Coverage on the first day of employment for medical, dental, and vision insurance.
• Paid parental leave (16 weeks for primary caregiver and 8 weeks for secondary caregiver).
• Flexible PTO plan.
• In-office Monday through Thursday and work from home on Fridays.
• Free brand-new gym in the Chicago office.
• 401k matching plan.
• HSA employer contributions.
• Student loan assistance.
• Pet insurance.

Schedule

Work from home on Fridays.

Pay

Base salary of $100,000-$120,000 plus discretionary bonus (exact base salary amount will be dependent on experience).