Remote Lead Data Engineer - Azure and Snowflake Architect
Lead Data Engineer who architects a Snowflake-based data warehouse on Azure and owns the analytics stack end to end, from data ingestion to BI. Works closely with the CEO and product owners to turn business needs into scalable technical solutions.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Senior leadership experience
- Expertise in cloud data platforms
- Experience architecting a Snowflake-based data warehouse on Azure
- Ability to drive the analytics stack from ingestion to BI
- Disciplined approach to testing and documentation
Full description
Country: Poland, Croatia, Costa Rica, Argentina, Colombia, Mexico, Brazil, and Portugal
Type: Fully remote
What's the Project?
Newfire Global Partners is a leading technology firm that specializes in building transformative software solutions for some of the world’s most innovative companies. With a presence across four continents, Newfire Global brings deep expertise in digital healthcare, AI-driven analytics, and enterprise technology. The firm’s track record of delivering scalable, high-impact solutions has made it a trusted partner for organizations seeking to drive meaningful change through technology.
We are passionate about the purpose-driven mission to help improve the quality of care for patients and are building a collaborative, innovative, and inclusive culture. We are a fully funded company founded by serial entrepreneurs with a stable client base.
**Opportunity for impact
Newfire Global Partners, a leader in developing disruptive healthcare technology, collaborates with Fortune 500 companies and start-ups to drive transformation.
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.
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 , and communicating status and trade-offs clearly to non-technical executives. Experience working in an or iterative delivery cadence is required.