Enterprise Data Architect
RemoteLondon, England, United Kingdom or United Kingdom
Job Summary
Design and maintain the enterprise data architecture for the Azure Data Platform, including target-state designs, roadmaps, and architectural standards. Own the Databricks Lakehouse platform, defining workspace design, Unity Catalog structure, medallion architecture, and environment strategy. Lead integration patterns for external data sharing via Delta Sharing, APIs, and file-based exchange while establishing Master Data Management solutions and governance policies. Optimize Databricks performance and cost through cluster strategy and workload right-sizing, ensuring designs meet security, privacy, and regulatory requirements like GDPR. Review solution designs to provide architectural assurance and support AI adoption by enabling discoverable, well-governed data for machine learning and GenAI use cases. Report to the Head of Enterprise Architecture within the architecture team.
Required Qualifications
- Deep, hands-on proficiency with Databricks, including Unity Catalog, Delta Lake, workflows, and platform administration concepts
- Practical experience with Databricks Delta Sharing and designing integration patterns for external data sharing (e.g. Delta Sharing, secure APIs, event streaming, managed file transfer), including the security and contractual considerations involved
- Strong track record designing and implementing Master Data Management solutions, including tooling selection, data stewardship models, and reference data management
- Demonstrable expertise in Databricks performance and cost optimisation at scale
- Strong data modelling skills (dimensional, 3NF, Data Vault or similar) and experience defining enterprise data models
- Solid grounding in Azure, including storage, networking, and identity concepts relevant to data platforms
- Experience with data governance frameworks and tools (e.g. Microsoft Purview), data quality management, metadata, and lineage tooling
- Strong SQL and working knowledge of Python and/or Spark
- Understanding of data security and privacy: encryption, access control (RBAC/ABAC), data masking, and regulatory compliance (GDPR)
- Excellent communication skills, with the ability to explain architectural decisions in plain language to executive and non-technical audiences
- You will need to be quick to learn new systems and business processes
Desired Qualifications
- Great with people, as close working relationships between our colleagues and clients is at the heart of what we do
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