Databricks Platform Engineer

Platform Architecture & Engineering responsibilities

Design and implement scalable Databricks Lakehouse platforms on AWS and/or Azure aligned to client requirements

Architect end-to-end data platforms including ingestion, storage (Delta Lake), processing, and consumption layers

Build and configure cloud infrastructure using infrastructure-as-code (e.g. Terraform & Declarative Automation Bundles (DAB's))

Establish secure, compliant environments including networking (VNet/VPC, Private Link), identity (IAM/Entra ID), data governance (Unity Catalog), and access controls

Define environment strategies (dev/test/prod), CI/CD pipelines, and release processes for Databricks deployments

Implement monitoring, logging, cost optimisation, and performance tuning across the platform

Design and implement data pipelines using Delta Live Tables, Auto Loader, and Databricks Workflows for both batch and streaming workloads

Client Delivery & Enablement responsibilities

Work directly with clients to translate business and technical requirements into scalable platform designs

Lead technical workshops, architecture sessions, and whiteboarding engagements with client stakeholders

Support rapid prototyping and proof‑of‑concept builds within Databricks to demonstrate platform capabilities and accelerate client adoption

Provide best practice guidance on Lakehouse architecture, data modelling, workload optimisation, and cost management

Produce high‑quality technical documentation including architecture diagrams, architecture decision records (ADRs), runbooks, and deployment guides

Enable client teams through structured knowledge transfer, training, and platform handover

Collaborate with data engineers, data scientists, and product teams to ensure successful delivery outcomes

Governance & Security

Implement Unity Catalog for centralised data governance, including access control (RBAC/ABAC), data lineage, audit logging, and compliance enforcement

Apply security best practices across platform design: network isolation, secret management, encryption at rest and in transit, and identity federation

Ensure platform designs meet client regulatory and compliance requirements (e.g. GDPR, ISO 27001, sector‑specific standards)

What success looks like in the role

Delivery of robust, secure, and scalable Databricks platforms that meet client performance and cost expectations

Clear, well‑architected solutions that balance flexibility, governance, and operational efficiency

Strong client relationships built on trust, technical credibility, and effective communication

Accelerated client adoption of the Lakehouse platform through well‑designed enablement and documentation

Reduced deployment time through reusable infrastructure patterns and automation

Proactive identification of risks, trade‑offs, and optimisation opportunities across platform design and delivery

Contribution to the organisation's growing body of reusable platform accelerators, reference architectures, and internal knowledge

Competencies and Behaviours

3+ years experience in data platform engineering, cloud engineering, or similar roles

Strong hands‑on experience with Databricks, including Apache Spark, Delta Lake, Workflows

Proven experience designing and deploying data platforms on AWS and/or Azure (e.g. ADLS, S3, VNet/VPC, IAM)

Experience with infrastructure-as-code tools (e.g. Terraform preferred) and CI/CD pipelines (e.g. Azure DevOps, GitHub Actions)

Solid understanding of data architecture concepts including Lakehouse medallion architecture and dimensional modelling

Familiarity with security and governance frameworks (e.g. RBAC, ABAC, data masking, audit, compliance standards)

Excellent communication skills with the ability to explain complex technical concepts to non‑technical stakeholders

Comfortable working in a client‑facing consultancy environment with multiple concurrent engagements

Proactive, self‑driven, and able to take ownership of end‑to‑end platform delivery

Willingness to travel within the UK as required

Right to work in the UK

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