We're looking for a seasoned
Databricks Lead Engineer to drive next‑gen platform uplift, define best practices, and lead delivery across our Lakehouse ecosystem. This role is for someone who has led major Databricks transformations with the individual contribution and can influence architecture, engineering standards, and team direction.
Responsibilities
- Lead modernization of Databricks platform and adoption of advanced features.
- Design and deliver Lakeflow jobs, pipelines, and scalable Lakehouse solutions.
- Implement and optimize Unity Catalog, DQX, DB Genie, AI/BI workloads.
- Establish engineering best practices, governance, and automation frameworks.
- Along with the individual contribution, mentor teams and guide technical decision‑making across the organization.
Requirements
- 7+ years in data/platform engineering with deep Databricks expertise
- Strong Hands‑on experience with Pyspark, DBR, Lakeflow, UC, DQX, DB Genie, Delta Lake
- Experienced in ADF, Synapse and exposure to Azure DevOPs
- Proven leadership in large‑scale Databricks or Lakehouse transformation projects
- Strong out of the box thinking, problem‑solving, and deliverables leadership
- Ability to set direction, challenge assumptions, and drive outcome
