About this role
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. 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.