At a Glance
- Tasks: Design and implement data architecture on the Azure Data Platform using Databricks.
- Company: Join Aztec, a diverse and inclusive tech company focused on innovation.
- Benefits: Enjoy flexible working, generous holidays, private medical insurance, and a bonus scheme.
- Other info: Opportunity for career growth and to work with cutting-edge technologies.
- Why this job: Shape the future of data architecture and make a real impact in a dynamic environment.
- Qualifications: Experience with Databricks, data modelling, and strong communication skills required.
The predicted salary is between 80000 - 100000 £ per year.
Overview
At Aztec, we are committed to building a diverse and inclusive workforce where everyone is valued, respected, and able to grow.
We welcome applications from all individuals and encourage candidates who are excited about the role, even if every listed requirement is not met.
We are seeking an Enterprise Data Architect to join the architecture team to help deliver our technology strategy on the Azure Data Platform, leveraging Databricks.
This role reports to the Head of Enterprise Architecture and focuses on design, implementation, and maintenance of data models and related architecture.
Responsibilities
- Define and maintain the enterprise data architecture, including target-state designs, roadmaps, and 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 data integration patterns for sharing data with external clients and third parties, including secure, scalable approaches using Databricks Delta Sharing, APIs, and file-based exchange where appropriate.
- Lead the design and adoption of Master Data Management (MDM), including entity definitions, golden-record strategy, match-and-merge rules, and stewardship processes.
- Establish standards and practices for optimizing Databricks performance and cost — cluster and compute strategy, Delta table management, caching, and workload right-sizing.
- Define data modelling standards (conceptual, logical, physical) across analytical and operational domains.
- Collaborate with data governance to 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 — ensuring data is discoverable, well-governed, and AI-ready for machine learning, Gen AI, and agentic use cases across the business.
- Partner with AI/ML teams to define patterns for feature engineering, model data pipelines, vector search, and safe exposure of enterprise data to AI systems.
- Evaluate emerging technologies and make pragmatic build/buy/adopt recommendations for data and AI enablement opportunities.
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 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 (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 to executive and non-technical audiences.
Benefits
- 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 (location dependent)
We are an ambitious company, committed to building long-term partnerships with our clients and delivering operational excellence at every stage of our fund’s lifecycle.
Our culture places people at the heart of the business, with values focused on putting clients first, delivering service excellence, teamwork, and ongoing professional development.
Join us to explore a bright alternative and advance your career with Aztec.
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Enterprise Data Architect employer: Aztec Financial Services (UK) Limited
Aztec Financial Services (UK) Limited is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to ongoing training and development opportunities, all while working in a hybrid environment that promotes work-life balance. Join us in our vibrant location, where your expertise in Anaplan will be valued and rewarded, making a meaningful impact on our strategic initiatives.
Contact Details:
Aztec Financial Services (UK) Limited Recruitment Team