Sr. Data Quality Engineer

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Affinity Solutions is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access to fully permissioned transaction data from over 100 million consumers. Our proprietary AI technology, Comet™, transforms these purchase signals into actionable insights for business and marketing leaders to drive optimal outcomes and build lasting customer relationships.

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Data Quality Strategy & Leadership

• Establish and enforce enterprise-wide data quality standards, frameworks, and best practices aligned with organizational objectives
• Lead comprehensive data quality initiatives to monitor, validate, and enhance data accuracy, completeness, consistency, and timeliness across all systems
• Design and implement automated data quality validation, profiling, and anomaly detection mechanisms
• Define and track key data quality metrics and SLAs to measure and improve data reliability
• Implement data quality gates and validation checkpoints throughout the data lifecycle

Data Governance & Compliance

• Develop and maintain comprehensive metadata repositories, data dictionaries, and data lineage documentation to ensure transparency and traceability
• Ensure strict adherence to data privacy regulations (GDPR, CCPA, HIPAA) and industry compliance standards
• Implement and enforce robust security measures including data encryption, masking, tokenization, and role-based access controls
• Participate in data governance committees and contribute to policy development
• Partner closely with data scientists, analytics engineers, platform engineers, and business stakeholders to deliver reliable, fit-for-purpose data solutions
• Provide technical mentorship and guidance to junior and mid-level engineers, fostering a culture of excellence in data quality
• Conduct code reviews and promote engineering best practices across the data organization
• Translate complex technical concepts for non-technical stakeholders
• Monitor and evaluate emerging technologies, tools, and methodologies in data quality, observability, and governance
• Identify opportunities for process optimization and technical debt reduction
• Lead proof-of-concept initiatives to validate new technologies and approaches
• Drive strategic recommendations to enhance data reliability, efficiency, and organizational data maturity

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related technical field;
  Master's degree preferred
• 5+ years of progressive experience in data quality engineering, data governance, or data platform engineering
• Demonstrated track record of implementing enterprise-scale data quality solutions
• Proven experience leading technical initiatives and mentoring engineering teams

• Expert-level proficiency in SQL and query optimization techniques
• Advanced programming skills in Python, including libraries for data processing (Pandas, Num Py, PySpark)
• Strong understanding of distributed computing frameworks (Apache Spark, Hadoop ecosystem)
• Deep expertise in data modeling methodologies (dimensional modeling, data vault, 3NF)
• Comprehensive knowledge of ETL/ELT design patterns and data integration strategies

• Hands-on experience with cloud platforms (AWS, Google Cloud Platform, or Azure)
• Proficiency with modern cloud data warehouses (Amazon Redshift, Google Big Query, Snowflake)
• Experience with data quality and observability tools (Great Expectations, Soda Core, Monte Carlo, or similar)
• Familiarity with workflow orchestration tools (Apache Airflow, Prefect, Dagster)
• Knowledge of data cataloging and governance platforms (Datahub, Openmetadata, Alation, or similar)
• Version control systems (Git) and CI/CD practices

$130,000–$145,000 annually (commensurate with experience and qualifications)

9am – 5:30pm

As a full-time member of our team, your benefits will include generous company contributions for medical, dental, and vision. In addition to company-paid holidays, wellness time off, and other wellness benefits, you will also receive company-paid life insurance and the option to enroll in a 401K Plan with employer match. We encourage work/life balance with unlimited vacation days, available after 90 days of employment, as well as employee discounts and professional development opportunities.