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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Databricks architecture and data modeling, with a strong focus on performance optimization, data governance, and integration patterns. Capable of leading Master Data Management initiatives and ensuring compliance with security and regulatory standards.
Highest-signal resume keywords
Databricks ProficiencyMaster Data Management DesignData Modeling SkillsAzure Data Platform KnowledgeData Governance Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
DatabricksUnity CatalogDelta LakeSQLPythonSparkData ModelingData GovernanceData Quality ManagementGDPR Compliance
Soft Skills
Excellent CommunicationRelationship BuildingQuick Learner
Tools & Technologies
Microsoft Purview
Industry Keywords
Data ArchitectureData Integration PatternsData StewardshipData SecurityRegulatory Compliance
Tech Stack
Tools & technologiesAzurePythonSparkSQLUnityVault
About the role
Key responsibilities & impact- Report to the Head of Enterprise Architecture
- Help Aztec deliver its technology strategy leveraging Databricks
- Design, implement, and maintain data models and related architecture for the Azure Data Platform
- Define and maintain enterprise data architecture, including target-state designs, roadmaps, architectural standards, and patterns
- Own the architecture of the Databricks Lakehouse platform, including workspace design, Unity Catalog structure, medallion architecture, and environment strategy
- Design and govern secure, scalable integration patterns for sharing data with external clients and third parties
- Lead the design and adoption of Master Data Management, including entity definitions, golden-record strategy, match-and-merge rules, and stewardship processes
- Establish standards and practices for optimising Databricks performance and cost
- Define data modelling standards across analytical and operational domains
- Embed data quality, lineage, cataloguing, classification, and access-control policies into platform design
- Ensure architectures meet security, privacy, and regulatory requirements, including GDPR and data residency considerations
- Review solution designs, provide architectural assurance, and support engineering teams through design authority and peer review
- Design data architectures that enable AI adoption for machine learning, GenAI, and agentic use cases
- Partner with AI/ML teams on feature engineering, model data pipelines, vector search, and safe exposure of enterprise data to AI systems
- Evaluate emerging technologies and make build/buy/adopt recommendations
Requirements
What you’ll need- 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, including security and contractual considerations
- 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, including 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, such as 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, including 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
- Quick to learn new systems and business processes
- Great with people and able to build close working relationships with colleagues and clients
Benefits
Comp & perks- Discretionary bonus scheme
- Flexible, hybrid working
- Ability to work abroad for up to 3 weeks per annum
- Generous holiday allowance
- Pension scheme
- Private medical insurance, including eye care
- Life assurance (death in service and critical illness benefit)
- Worldwide travel insurance
- Health and wellbeing programmes
- On-site parking
- Training in-house for relevant technical knowledge
- Professional qualifications to enhance professional development