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# Data Platform Architect - 12-Month Contract - London(Hybrid) - Inside IR35

- **Company:** Hamilton Barnes
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £143,000.0
- **Contract:** Temporary contract
- **Skills:** Unity 3d, Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, Data Infrastructure, Data Security, Github, Identity and Access Management, Python (Programming Language), Key Management, Network Connections, Performance Tuning, Role-Based Access Control, Power BI, SQL Databases, Tableau (Software), Data Ingestion, Delivery Pipeline, Apache Spark, Git, Event Driven Architecture, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Restful APIs, Terraform, Stream Processing, Serverless Computing, Legacy Systems, Databricks
- **Published:** August 12, 2026
- **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-F913EA881D4F31C676/

## About the Role

* 10-20 years' strong hands-on experience architecting and operating enterprise Databricks platforms
 * Deep understanding of Databricks compute options, Unity Catalog, Delta Lake, Lakeflow, Workflows, and SQL Warehouses
 * Experience designing identity, entitlement, RBAC, data security, secrets management, network connectivity, and audit solutions
 * Experience with cluster policies, platform automation, CI/CD, monitoring, cost governance, and performance optimisation
 * Ability to convert platform capabilities into pragmatic standards and workload-selection decision frameworks
 * Strong stakeholder management, technical leadership, mentoring, and architecture governance skills
 * Knowledge of AWS cloud infrastructure, including IAM, private connectivity, networking, storage, encryption, secrets management, and IaC
 * Ability to translate business strategy into pragmatic architecture and executable delivery plans
 * Experience leading POCs, technology evaluations, and executive-level presentations
 * Proven ability to lead multidisciplinary teams
 * Databricks Solutions Architect or Professional Data Engineer certification, progressing to Databricks Champion (preferred)
 * Experience establishing or supporting a Databricks Centre of Excellence (desirable)
 * Working knowledge of Terraform, Databricks Asset Bundles, AWS CodePipeline/CodeBuild, GitHub Actions, Python, SQL, Spark, and REST APIs (desirable)
 * Exposure to Real Time data processing, event-driven architectures, Power BI/Tableau, and AI/ML workloads on Databricks (desirable)
 * Primary technologies: Databricks, PySpark, Delta Lake, Unity Catalog, Delta Live Tables, SQL, Azure, Git, CI/CD, data modelling

## Description

We're recruiting for a Data Platform Architect to lead the architecture, governance, and adoption of an enterprise Databricks platform for a leading financial services organisation - acting as the organisation's Databricks champion, defining platform standards, advising delivery teams, resolving complex architectural decisions, and ensuring secure, scalable, reliable, and cost-effective use of Databricks., * Define and maintain the enterprise Databricks reference architecture, platform principles, and engineering guardrails

 * Establish decision frameworks for selecting serverless compute, job clusters, interactive compute, and SQL warehouses based on workload, security, performance, and cost
 * Design and govern Unity Catalog structures, including catalogs, schemas, workspaces, storage credentials, and data access patterns
 * Implement enterprise entitlement solutions covering identity federation, groups, roles, service principals, and least-privilege data access
 * Define cluster policies, serverless usage policies, tagging standards, budget controls, and chargeback/showback mechanisms
 * Establish reusable patterns for data ingestion, transformation, orchestration, CI/CD, observability, and data quality
 * Guide workload migration from Legacy platforms to Databricks-native and serverless patterns
 * Review solution designs, identify platform risks, approve exceptions, and support resolution of performance/scalability/security issues
 * Monitor platform adoption, utilisation, performance, and cost, driving continuous optimisation
 * Evaluate new Databricks capabilities and translate them into approved enterprise patterns


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