Lead Data Engineer

Department: Engineering

Employment Type: Part Time

Location: Medellin, Medellin, Colombia, Remote

Your day-to-day activities:

• Architectural Design: Define target architecture and data models for a new Snowflake-based warehouse on Azure using Medallion Architecture principles.
• Tooling Selection & Strategy: Lead the evaluation and implementation of the semantic layer (e.g., Cube) and BI tools (e.g., Hex, Lightdash, or Metabase).
• Standards & Quality: Establish and enforce a rigorous Definition of Done (DoD) that includes documentation, testing, and peer review.
• Testing Strategy: Architect a proactive data quality framework using dbt tests and observability patterns to ensure a trustworthy EDW.
• Stakeholder Management: Interface with the CEO; manage expectations, clarify scope, and push back on unrealistic requirements while maintaining architectural soundness.
• Planning & Delivery Management: Own the data teams sprint planning, backlog grooming, and quarterly roadmap. Translate business priorities into a sequenced delivery plan; proactively surface risks and keep stakeholders aligned on scope, timeline, and trade-offs.

You’re a perfect match if you have:

• Cloud Infrastructure: Proven experience building and managing data platforms within the Azure ecosystem.
• End-to-End Stack Mastery: Experience designing and delivering a modern warehouse: Ingestion (Airbyte/Fivetran) → Snowflake → dbt → Semantic Layer/BI.
• Advanced Data Modeling: Deep expertise in Dimensional Modeling (Star Schemas), EDW principles, and Medallion Architecture.
• Quality Leadership: Experience implementing automated testing and data observability at scale; TDD experience is a significant bonus.
• Leadership Experience: Prior tenure as a Tech Lead, Data Architect, or Analytics Engineering Lead.
• Delivery & Roadmap Management: Demonstrated ability to own a technical roadmap end-to-end — breaking down a multi-month initiative into sprints, managing a backlog in a tool such as Jira, Linear, or similar, and communicating status and trade-offs clearly to non-technical executives. Experience working in an Agile/Scrum or iterative delivery cadence is required.
• Definition of Done: A disciplined approach; you do not consider a task finished until it is tested, documented, and validated.
• Resilience: Comfortable holding ground under scrutiny and direct feedback
• Outcome-Oriented: Cares deeply about the final analysis the business needs.
• Ownership: Taking full responsibility for the integrity and reliability of the platform so that stakeholders have complete trust in the data.
• As a Senior team member, you will be expected to actively participate in our hiring processes by serving on interview panels for future roles across the company