Senior Data Engineer

About Climb

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Climb is a Data and AI consultancy that partners with enterprises to design, build, and operationalize modern data platforms and production AI systems. As a Databricks partner, we go deep on lakehouse architecture, machine learning, and applied AI, with a bias toward production over proof of concept. Our team brings deep technical expertise and a builder's mindset to every engagement, and we measure our work not just by what ships, but by the business impact it drives.

Role Summary

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Senior Data Engineers own complete data engineering workstreams within client engagements. You design, build, and operationalize the data platforms that power analytics and AI, taking your work from discovery and design through implementation, production, and handoff.

This is a hands-on engineering role built around ownership. You work directly with client stakeholders to translate business requirements into scalable data solutions, making the technical decisions necessary to deliver reliable, secure, and cost-efficient platforms. While the Data Architect owns the overall platform architecture, you own the successful delivery of your workstreams and the quality of the systems you build.

Our work focuses on modernizing enterprise data platforms using Databricks and the broader cloud ecosystem, enabling organizations to build trustworthy data products and AI-ready foundations that last beyond the engagement.

Key Responsibilities

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• Own one or more data engineering workstreams, from technical design through production deployment and handoff.
• Design and implement scalable data models and lakehouse architectures, including medallion patterns where appropriate.
• Optimize performance and cost across Databricks and the underlying cloud: you treat compute spend as your problem, not someone else's.
• Orchestrate workflows using Databricks Workflows, Delta Live Tables, or equivalent tooling.
• Implement...