- 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.
