Senior Data Governance Engineer

Overview

Daily Pay is transforming the way people get paid. As a worktech company and the industry’s leading on demand pay solution, Daily Pay uses an award-winning technology platform to help America’s top employers build stronger relationships with their employees. This voluntary employee benefit enables workers everywhere to feel more motivated to work harder and stay longer on the job while supporting their financial well-being outside of the workplace.

Daily Pay is headquartered in New York City, with operations throughout the United States as well as in Belfast. For more information, visit Daily Pay's Press Center.

The Senior Data Governance Engineer is passionate about data governance, privacy, and compliance and is responsible for enabling Daily Pay’s data governance program, including improving existing processes for managing the control and protection of sensitive data and information assets.

In this role, you will focus on ensuring adherence to an enterprise data governance framework, including data policies, standards, practices, and compliance with regulatory and contractual security and privacy requirements. You will coordinate with data stewards to help develop new data-centric systems and services, maximising the value of data while minimising risks.

This role will be instrumental in creating data oversight standards, PII discovery approaches, data quality frameworks, and data dictionary/lineage documentation. The ideal candidate brings strong collaborative qualities alongside deep technical expertise in data engineering and a passion for data-driven operational excellence.

If this opportunity excites you, we encourage you to apply even if you do not meet all of the qualifications.

• Program Alignment: Ensure adherence to an enterprise data governance framework, including data policies, standards, practices, and compliance with regulatory/contractual security requirements throughout the information lifecycle.
• Capability Building: Help establish scalable enterprise data governance capabilities across people, processes, and technologies, including building standards, creating data definitions, and training stakeholders.
• Data Management: Execution of business processes within the data governance program, including data profiling, enforcing specific data quality rules, and cataloging data items to ensure proper lineage is maintained.
• Platform Administration: Oversee the implementation and management of data governance platform technologies, serving as a primary administrator and subject matter expert.
• Architecture
  
  Collaboration:
  
  Participate in the design of functional data management systems as an integrated part of the enterprise architecture.
• Stakeholder Communication: Design, document, and communicate data architecture and business expertise to Stakeholders (Business Analysts, Data Scientists etc) during system development.
• Standards & Currency: Ensure scalable enterprise data currency, accuracy, precision, retention, and security approaches.
• Cross-Functional Partnership: Collaborate with IT, engineering, legal, privacy, security, compliance, and business team members to define data governance requirements and standards.
• Metrics & Reporting: Develop reporting methods to measure progress and metrics of data governance initiatives.
• Documentation: Create documentation and educational materials to improve the overall knowledge of data management across the enterprise.

• Data Governance
  
  Experience:
  
  3+ years of Data Governance experience, within a regulated industry (such as fintech, payments, banking, or healthcare).
• Regulatory Awareness: Knowledge of data-related regulatory requirements, including practical exposure to privacy laws such as GLBA, CCPA, or GDPR and privacy compliance implementation.
• Technical Literacy: A solid conceptual understanding of modern data architecture, including SQL/No
  
  SQL databases, cloud data services (AWS, Azure, or GCP), and distributed systems (e.g., Spark, Kafka). While hands-on development isn't the primary focus, you should be comfortable navigating these environments and running queries to extract data when…