Note: The job is a remote job and is open to candidates in USA. Affinity Solutions is the leading consumer purchase insights company, providing a complete view of U.S. and U.K. consumer spending through exclusive access to transaction data. They are seeking a Senior Data Quality Engineer to lead initiatives ensuring the accuracy and reliability of their enterprise data ecosystem, architecting data quality frameworks and collaborating with cross-functional teams.
Responsibilities
- 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
- 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
Skills
- 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, 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
- 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
- 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
Benefits
- Generous company contributions for medical, dental, and vision
- Company-paid holidays
- Wellness time off
- Other wellness benefits
- Company-paid life insurance
- Option to enroll in a 401K Plan with employer match
- Unlimited vacation days, available after 90 days of employment
- Employee discounts
- Professional development opportunities
Company Overview
Affinity Solutions offers technology, analytics, data processing, and business services for customers. It was founded in 2005, and is headquartered in New York, New York, USA, with a workforce of 51-200 employees. Its website is https://www.affinity.solutions.Company H1B Sponsorship
Affinity Solutions has a track record of offering H1B sponsorships, with 4 in 2026, 11 in 2025, 22 in 2024, 6 in 2023, 6 in 2022, 9 in 2021, 4 in 2020. Please note that this does not guarantee sponsorship for this specific role.