Data Quality & Governance specialist
RemoFirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist. We are on a mission to be the FIRST to revolutionise the industry and be a truly generational company.
Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, enabling clients to hire anyone from anywhere with one click. RemoFirst manages employees and contractors for Fortune 500 companies (e.g., Microsoft, Mastercard) and the best startups worldwide (e.g., TransferGo).
We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc. 5000 list of fastest-growing companies in 2025. Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations.
As a Data Quality & Governance specialist, you will own the DQ program and act as a bridge between Data and Business teams
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Responsibilities:
Data Quality
Own the end-to-end Data Quality program: SLAs, monitoring, testing, issue resolution and continuous improvement.
Drive requirements gathering 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 medallion architecture (Bronze / Silver / Gold layers).
Build DQ dashboards and lead root-cause analysis to improve trust in data.
Data Governance
Build and maintain the enterprise data catalog and business glossary, ensuring metadata, ownership, lineage, and business definitions remain accurate, documented, and discoverable.
Partner with domain teams to capture institutional knowledge and translate business context into shared metadata, glossary definitions, classifications, and governed semantic context.
Enable trusted and reusable data foundations for analytics and AI use cases by improving discoverability, context, and governance of data assets.
Support governance and compliance practices for sensitive and regulated data.
Cross-Functional Leadership
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.
Drive data discoverability and become the trusted point of contact for data meaning and reliability.
What you’ll need:
3+ years in Data Quality, Governance.
Hands-on experience running Data Quality and Data Governance initiatives in production.
Strong DBT and SQL skills.
Experience with data cataloging tools like OpenMetadata, DataHub, Collibra, or similar.
Experience building DQ dashboards and communicating with business stakeholders.
Strong ownership and ability to work independently.
Why work at RemoFirst?
Startup environment: RemoFirst is an early-stage start-up. You have a voice and can influence and grow rapidly.
Growth opportunity: This is a chance to define how AI transforms a category-leading startup - and grow your career as we scale. As a part of our AI team you will be able to learn from other engineers and ongoing R&D projects.
Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.
Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.
Leadership visibility: Reporting into the AI Lead.
Compensation and perks are great: Competitive compensation. 100% remote work. PTO regulated by local statutory.
Culture: We lead with respect, kindness, and the right to fail. We value hard yet smart work. Diversity and inclusion are part of our DNA. As we grow and evolve, we welcome your input to help us define our culture further.
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Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, enabling clients to hire anyone from anywhere with one click. RemoFirst manages employees and contractors for Fortune 500 companies (e.g., Microsoft, Mastercard) and the best startups worldwide (e.g., TransferGo).
We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc. 5000 list of fastest-growing companies in 2025. Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations.
As a Data Quality & Governance specialist, you will own the DQ program and act as a bridge between Data and Business teams
\n
Responsibilities:
Data Quality
Own the end-to-end Data Quality program: SLAs, monitoring, testing, issue resolution and continuous improvement.
Drive requirements gathering 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 medallion architecture (Bronze / Silver / Gold layers).
Build DQ dashboards and lead root-cause analysis to improve trust in data.
Data Governance
Build and maintain the enterprise data catalog and business glossary, ensuring metadata, ownership, lineage, and business definitions remain accurate, documented, and discoverable.
Partner with domain teams to capture institutional knowledge and translate business context into shared metadata, glossary definitions, classifications, and governed semantic context.
Enable trusted and reusable data foundations for analytics and AI use cases by improving discoverability, context, and governance of data assets.
Support governance and compliance practices for sensitive and regulated data.
Cross-Functional Leadership
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.
Drive data discoverability and become the trusted point of contact for data meaning and reliability.
What you’ll need:
3+ years in Data Quality, Governance.
Hands-on experience running Data Quality and Data Governance initiatives in production.
Strong DBT and SQL skills.
Experience with data cataloging tools like OpenMetadata, DataHub, Collibra, or similar.
Experience building DQ dashboards and communicating with business stakeholders.
Strong ownership and ability to work independently.
Why work at RemoFirst?
Startup environment: RemoFirst is an early-stage start-up. You have a voice and can influence and grow rapidly.
Growth opportunity: This is a chance to define how AI transforms a category-leading startup - and grow your career as we scale. As a part of our AI team you will be able to learn from other engineers and ongoing R&D projects.
Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.
Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.
Leadership visibility: Reporting into the AI Lead.
Compensation and perks are great: Competitive compensation. 100% remote work. PTO regulated by local statutory.
Culture: We lead with respect, kindness, and the right to fail. We value hard yet smart work. Diversity and inclusion are part of our DNA. As we grow and evolve, we welcome your input to help us define our culture further.
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