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Databricks Platform Engineer

Sagacity
London, United Kingdom
Last week
Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
20 May 2026 (Last week)
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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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