Sr. Data Quality Engineer (152025.4)

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. Visit to discover how were shaping the future of consumer purchase insights.

About Your Role:

Affinity Solutions is seeking an accomplished Senior Data Quality Engineer to spearhead critical initiatives ensuring the accuracy reliability and compliance of Affinitys enterprise data this strategic role you will architect and implement sophisticated data quality frameworks optimize data pipelines and partner with cross-functional teams to deliver trusted high-performance data solutions that drive business value. The ideal candidate combines deep technical expertise with proven leadership capabilities and a strategic vision for advancing data quality and governance maturity.

Your Responsibilities:

• 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
• Cross-Functional Collaboration & Mentorship
  • 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
• Innovation & Continuous Improvement
  • 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

Your Qualifications:

• Bachelors degree in Computer Science Information Systems Data Engineering or related technical field; Masters 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
• Core Technical Competencies:
  • Expert-level proficiency in SQL and query optimization techniques
  • Advanced programming skills in Python including libraries for data processing (Pandas NumPy 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
• Platform & Tools:
  • Hands-on experience with cloud platforms (AWS Google Cloud Platform or Azure)
  • Proficiency with modern cloud data warehouses (Amazon Redshift Google BigQuery 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
• Data Governance & Compliance:
  • Working knowledge of data privacy regulations (GDPR CCPA) and compliance frameworks
  • Understanding of data security principles and implementation of access controls
  • Experience with metadata management and data lineage tracking

Salary Range: : $130000$145000 annually (commensurate with experience and qualifications)

Office Hours: 9am 5:30pm

Benefits:

As a full-time member of our team your benefits will include generous company contributions for medical dental and 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.