Lead Data Engineer

At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're driven by the desire to solve problems and make a difference, you're in the right place!

Our approach is simple: empower our people with the best tools possible to make an impact within their industry. We're on the lookout for people who thrive on ownership and freedom, possessing not just technical depth but also executive presence and business judgment.

Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is minimal, and individuals are encouraged to challenge the status quo. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers and the customers we serve.

About the Role

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As a Lead Data Engineer at Rearc, you'll serve as the hands-on technical lead across complex, client-facing data engineering engagements. You'll own the architecture and the build — not just guide it from a distance.

What You'll Do

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• Lead Client Data Engagements — Serve as the senior technical lead on client projects. Own the architecture, guide the build, manage delivery risk, and ensure the solution shipped matches what was promised.
• Build and Productionize Data Solutions — Design and implement scalable, reliable data pipelines and lakehouse architectures on Databricks and cloud platforms. You're hands-on keyboard — you write code, review code, and set the engineering standard for the engagement.
• Architect for Scale and Reliability — Translate complex client requirements into robust technical designs, reference architectures, and data models built to last in production.
• Drive Technical Delivery — Manage technical scope and timelines, id