Forward Deployed Engineer

A Forward Deployed Engineer - Databricks is needed to join a long-term enterprise data transformation programme.

This is a hands-on role for someone who can operate across data engineering, data architecture and advanced data modelling, while working directly with business stakeholders.

Key experience needed for the Forward Deployed Engineer - Databricks:

• Strong experience in enterprise data modelling and architecture
• Advanced SQL and strong Python / PySpark
• Hands-on Databricks experience, including Delta Lake, Workflows and Unity Catalog
• Production experience with dbt and/or Spark Declarative Pipelines (SDP)
• Strong understanding of enterprise data architecture, including ingestion, integration, conformance and consumption layers
• Experience handling complex data challenges such as master/reference data, changing entities, conflicting definitions and data reconciliation
• Ability to translate complex business requirements into practical technical solutions
• Strong stakeholder management and communication skills
• Experience with data governance, access controls and security
• Terraform / Databricks Asset Bundles and CI/CD experience
• Comfortable working autonomously in an environment where priorities can change quickly

The day to day responsibilities for the Forward Deployed Engineer - Databricks, include:

• Design, optimise, and operate Apache Spark workloads across batch and streaming performance tuning, cost efficiency, production reliability
• Architect and deliver Delta Live Tables pipelines, Databricks Workflows, and Unity Catalog governance models across Customer's global estate
• Build and maintain infrastructure-as-code (Terraform, Terragrunt, Databricks Asset Bundles) with CI/CD automation via GitHub Actions
• Design data models, query optimisation strategies, and row-level security implementations in Lakebase
• Develop full-stack application components (Node.js backend, React frontend) for the NEXUS platform, including deployment via Databricks Apps
• Interoperate between Databricks and their on-prem and custom data platform

You’ll be expected to take ownership of your workstream, work directly with stakeholders, define solutions and remain hands‑on throughout delivery.