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Aztec Group
Aztec Group
1,001 – 5,000 Employees
Skilled Worker Visa SponsorB2BFinance
Aztec Group is a regulated financial services provider focused on fund administration and related corporate and investor services for alternative asset managers and institutional investors. Its work spans private equity, private credit, real estate, infrastructure and digital asset funds, including fund accounting and reporting, AIFM and depositary services, investor onboarding, and support across private markets jurisdictions.
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Senior Enterprise Data Architect

Design Aztec Group’s Databricks Lakehouse and Azure data platforms, setting enterprise architecture, master data management, and governance standards. Build secure, AI-ready data foundations for outsourced services.

GBUnited KingdomHybridFull-timeMiddleSeniorEnglish RequiredData Engineer
AzurePythonSparkSQLUnityVault

Description

  • Report to the Head of Enterprise Architecture.
  • Support Aztec’s technology strategy through Databricks.
  • Design, implement, and maintain data models and architecture for the Azure Data Platform.
  • Set and maintain enterprise data architecture, including target-state designs, roadmaps, standards, and patterns.
  • Own Databricks Lakehouse architecture, including workspace design, Unity Catalog structure, medallion architecture, and environment strategy.
  • Design and govern secure, scalable data-sharing integrations with external clients and third parties.
  • Lead Master Data Management design and adoption, covering entity definitions, golden records, matching and merging rules, and stewardship processes.
  • Set standards and practices for Databricks performance and cost optimisation.
  • Define data-modelling standards for analytical and operational domains.
  • Build 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.
  • Review solution designs, provide architectural assurance, and support engineering teams through design authority and peer reviews.
  • Design data architectures to support machine learning, generative AI, and agentic use cases.
  • Work with AI and ML teams on feature engineering, model data pipelines, vector search, and safe access to enterprise data for AI systems.
  • Assess emerging technologies and recommend whether to build, buy, or adopt them.

Requirements

  • Hands-on expertise with Databricks, including Unity Catalog, Delta Lake, workflows, and platform administration concepts.
  • Practical experience with Databricks Delta Sharing and secure integration design for external data sharing, including contractual considerations.
  • A strong record designing and implementing Master Data Management solutions, including tool selection, stewardship models, and reference data management.
  • Demonstrated expertise optimising Databricks performance and costs at scale.
  • Strong data-modelling skills across dimensional, 3NF, Data Vault, or similar approaches, with experience defining enterprise data models.
  • Solid understanding of Azure 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 tools.
  • Strong SQL skills and working knowledge of Python and/or Spark.
  • Understanding of data security and privacy, including encryption, RBAC or ABAC access controls, data masking, and regulatory compliance such as GDPR.
  • Excellent communication skills, including explaining architecture decisions plainly to executive and non-technical audiences.
  • Ability to learn new systems and business processes quickly.
  • Strong interpersonal skills and the ability to build close working relationships with colleagues and clients.

Benefits

  • Discretionary bonus scheme
  • Flexible hybrid working
  • Option to work abroad for up to three weeks per year
  • Generous holiday allowance
  • Pension scheme
  • Private medical insurance, including eye care
  • Life assurance covering death in service and critical illness
  • Worldwide travel insurance
  • Health and wellbeing programmes
  • On-site parking
  • In-house training in relevant technical knowledge
  • Professional qualifications to support career development

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