Lead Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
First seen 9d ago
No source stated a posting date, so this is when the listing first reached us — which is a floor, not the real age. Last seen at its source 2h ago.
We have tracked this listing since 23 Oct 2026 (9 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Colombia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $32–62/hr
Middle 50% of 22 listings that do state pay — Engineering · all levels · Colombia · USD/hour. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Pinpoint employer's own board first seen 9d ago · last seen 2h ago
The listing
Opportunity for impact
Newfire is seeking a Lead Data Engineer
What's the Project?
As the Data Engineer Lead, you will be the primary architect and technical visionary for our greenfield data warehouse implementation on Azure. You are responsible for designing the end-to-end modern analytics stack—from source system ingestion (Airbyte/Fivetran) to the final BI reporting layer. You will serve as the "face" of the data team, interfacing directly with the CEO and product owners to translate business needs into technical reality.
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 team's 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