You are a Databricks-focused Data Engineer who understands that great data platforms enable products and AI workflows.
You bring production-grade expertise across the Databricks platform and connect platform capabilities to business outcomes.
You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement solutions.

What you will be doing:

Design and build production data pipelines using Lakeflow, Autoloader, and Structured Streaming, with end-to-end ownership.
Architect and implement Lakehouse solutions on Databricks tailored to client analytics, AI, and application needs.
Build and maintain Databricks transformation layers with DLT pipelines, PySpark notebooks, and dbt, with data quality constraints.

Why you should apply:

Work with passionate and talented people who value respect, mutual trust, and egoless collaboration.
Be part of a team with a reputation for excellence that gives back through education, mentoring, and sponsorship.
Help build a data practice specialization from the ground up, shaping go-to-market strategy and accelerators.

Livefront

Livefront helps companies design and build world-class digital products that command attention and inspire joy. They are a consultancy with a reputation for excellence, working with household names and startups, and they value collaboration, quality, and community.

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