Sr. Data Quality Engineer (40_2026.1)

affinitysolutions; New York (NY); On-site; USD 130,000 - 145,000; Full time

Job summary

Affinity Solutions in New York, NY, seeks a Senior Data Quality Engineer to lead enterprise data quality initiatives, architect quality frameworks, and optimize data pipelines to deliver trusted data across the business. You will mentor engineers, collaborate with data scientists and platform teams, and drive governance, privacy compliance, and data lineage across the data ecosystem.

This senior role requires strategic thinking, hands-on implementation, and strong leadership to raise data

Qualifications

• Bachelor’s degree in CS, Information Systems, Data Engineering, or related field; Master’s preferred.
• 5+ years of progressive experience in data quality engineering, governance, or data platform engineering.
• Track record implementing enterprise-scale data quality solutions.
• Proven experience leading technical initiatives and mentoring teams.
• Strong SQL, Python, Spark, data modeling, and ETL/ELT design.

Responsibilities

• Data Quality Strategy & Leadership: establish quality standards, monitor accuracy, and define SLAs.
• Data Governance & Compliance: maintain metadata, ensure GDPR/CCPA/HIPAA compliance, enforce security.
• Cross-Functional Collaboration & Mentorship: partner with data scientists, engineers, and stakeholders; mentor engineers.
• Innovation & Continuous Improvement: evaluate new tools, reduce technical debt, drive data reliability.

Skills

SQL

Python (Pandas, NumPy, PySpark)

Apache Spark

Data modeling

ETL/ELT design

Mentoring engineers

Cross-functional collaboration

Education

Bachelor's degree in CS/IS/Data Engineering

Master's degree preferred

Tools

AWS

GCP (Google Cloud Platform)

Azure

Redshift

BigQuery

Snowflake

Great Expectations

Soda Core

Monte Carlo

Airflow

Prefect

Dagster

Datahub/OpenMetadata/Alation

Git

CI/CD

Job description

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 & 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

• 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
• 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: $130,000–$145,000 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 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.