Senior Analytics Engineer: Data Governance & Trusted Insights

Lever, Inc.; Bogotá ciudad; Presencial; COP 293.026.000 - 488.377.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health Insurance

Life Insurance

Disability Insurance

Vacation & Sick Leave

Co-working Travel

Professional Development

Home Office Allowance

Catered Lunches

Descripción de la vacante

PayJoy is seeking a Senior Analytics Engineer to own governance, definitions, and measurement foundations for trusted data and measurable decisions. You will manage platform primitives ensuring data can be trusted and acted on, enabling teams to move faster with robust semantics and scalable models.

The role focuses on end-to-end ownership of governance, semantic layer, and experimentation, with impact across product engineering and analytics teams.

Formación

• Bachelor’s in a related field; Master’s a plus.
• 10+ years of experience in data analytics, governance, or similar roles.
• Deep data governance experience on a modern lakehouse (Unity Catalog or equivalent) at multi-catalog scale.

Responsabilidades

• Own Unity Catalog governance model, including catalog/schema architecture, tagging, metadata, lineage, grants, and PII controls.
• Define standards to make data trustworthy by default and ensure high-quality alerts and SLAs.
• Own the governed semantic layer and transformation loop for consistent definitions across teams.
• Establish how experimentation works, defining metric definitions, exposure tables, and guardrail metrics.
• Deliver reusable enablement patterns that can be adopted across the organization.

Conocimientos

Strong communication

Data governance

Data modeling

Stakeholder collaboration

Leadership

Ambiguity tolerance

Educación

Bachelor’s in related field

Master’s degree a plus

Herramientas

Unity Catalog

Descripción del empleo

PayJoy is seeking a Senior Analytics Engineer to own governance, definitions, and measurement foundations for trusted data and measurable decisions. You will manage platform primitives ensuring data can be trusted and acted on, enabling teams to move faster with robust semantics and scalable models.

The role focuses on end-to-end ownership of governance, semantic layer, and experimentation, with impact across product engineering and analytics teams.