Data Quality & Governance specialist

1 month, 1 week ago
Remofirst

Remofirst

Remofirst: Simplifying global HR solutions with streamlined payroll, compliance, and remote hiring in 180+ countries.

Professional Services
11-50
Founded 2021

Description

  • Own the end-to-end data quality program, including SLAs, monitoring, testing, issue resolution, and continuous improvement.
  • Gather requirements with business and data teams to define and document technical and business data quality rules.
  • Build and maintain dbt-based data quality tests across the Bronze, Silver, and Gold layers of the medallion architecture.
  • Create data quality dashboards and lead root-cause analysis to improve trust in data.
  • Build and maintain the enterprise data catalog and business glossary, keeping metadata, ownership, lineage, and definitions accurate and accessible.
  • Partner with domain teams to capture institutional knowledge and translate business context into shared metadata, glossary definitions, classifications, and governed semantic context.
  • Improve data discoverability and governance foundations to support trusted analytics and AI use cases.
  • Support governance and compliance practices for sensitive and regulated data.
  • Act as the bridge between Data and Business teams on definitions, ownership, trust, and governance decisions.
  • Facilitate workshops with domain owners to define business rules and data contracts.

Requirements

  • 3+ years of experience in data quality and governance.
  • Hands-on experience running data quality and data governance initiatives in production.
  • Strong DBT and SQL skills.
  • Experience with data cataloging tools such as OpenMetadata, DataHub, Collibra, or similar.
  • Experience building data quality dashboards and communicating with business stakeholders.
  • Strong ownership and ability to work independently.
  • Startup experience or comfort working in an early-stage, fast-moving environment is preferred.
  • Experience supporting governance and compliance for sensitive or regulated data is preferred.
  • Exposure to medallion architecture or similar layered data models is preferred.

Benefits

  • Competitive compensation.
  • 100% remote work.
  • PTO regulated by local statutory requirements.
  • Opportunity to influence and grow rapidly in an early-stage startup environment.
  • Direct visibility and impact on revenue growth, customer support, and market differentiation.
  • Learning opportunities from other engineers and ongoing R&D projects.
  • A culture led by respect, kindness, the right to fail, and smart hard work.

Interested in this position?

Apply directly on the company website

Apply Now

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