Sr. Data Quality Engineer

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 www.affinitysolutions.com to discover how we’re 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 Affinity's enterprise data ecosystem. In 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 & LeadershipEstablish and enforce enterprise-wide data quality standards, frameworks, and best practices aligned with organizational objectivesLead comprehensive data quality initiatives to monitor, validate, and enhance data accuracy, completeness, consistency, and timeliness across all systemsDesign and implement automated data quality validation, profiling, and anomaly detection mechanismsDefine and track key data quality metrics and SLAs to measure and improve data reliabilityImplement data quality gates and validation checkpoints throughout the data lifecycleData Governance & ComplianceDevelop and maintain comprehensive metadata repositories, data dictionaries, and data lineage documentation to ensure transparency and traceabilityEnsure strict adherence to data privacy regulations (GDPR, CCPA, HIPAA) and industry compliance standardsImplement and enforce robust security measures including data encryption, masking, tokenization, and role-based access controlsParticipate in data governance committees and contribute to policy developmentCross-Functional Collaboration & MentorshipPartner closely with data scientists, analytics engineers, platform engineers, and business stakeholders to deliver reliable, fit-for-purpose data solutionsProvide technical mentorship and guidance to junior and mid-level engineers, fostering a culture of excellence in data qualityConduct code reviews and promote engineering best practices across the data organizationTranslate complex technical concepts for non-technical stakeholdersInnovation & Continuous ImprovementMonitor and evaluate emerging technologies, tools, and methodologies in data quality, observability, and governanceIdentify opportunities for process optimization and technical debt reductionLead proof-of-concept initiatives to validate new technologies and approachesDrive strategic recommendations to enhance data reliability, efficiency, and organizational data maturityYour Qualifications:Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related technical field; Master's degree preferred5+ years of progressive experience in data quality engineering, data governance, or data platform engineeringDemonstrated track record of implementing enterprise-scale data quality solutionsProven experience leading technical initiatives and mentoring engineering teamsCore Technical Competencies:Expert-level proficiency in SQL and query optimization techniquesAdvanced 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 strategiesPlatform & 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 practicesData Governance & Compliance:Working knowledge of data privacy regulations (GDPR, CCPA) and compliance frameworksUnderstanding of data security principles and implementation of access controlsExperience with metadata management and data lineage trackingSalary Range: : $130,000–$145,000 annually (commensurate with experience and qualifications)Office Hours: 9am – 5:30pmBenefits: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.