Enterprise Data Architect in London

Enterprise Data Architect in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Aztec Financial Services (UK) Limited

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: Collaborative culture with opportunities for professional growth and global work experiences.
  • Why this job: Make a real impact in data architecture while advancing your career in a supportive environment.
  • Qualifications: Proficiency in Databricks, strong data modelling skills, and experience with Azure.

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.

#J-18808-Ljbffr

Enterprise Data Architect in London 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.

Aztec Financial Services (UK) Limited

Contact Details:

Aztec Financial Services (UK) Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Enterprise Data Architect in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Aztec Financial Services (UK) Limited!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Enterprise Data Architect at Aztec Financial Services (UK) Limited.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Aztec Financial Services (UK) Limited.

Apply Directly through Our Website

When you find a suitable opening like Enterprise Data Architect at Aztec Financial Services (UK) Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Enterprise Data Architect in London

Databricks
Unity Catalog
Delta Lake
Master Data Management (MDM)
Data Integration Patterns
Data Modelling
Azure

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Aztec Financial Services (UK) Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aztec Financial Services (UK) Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Aztec Financial Services (UK) Limited

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aztec Financial Services (UK) Limited!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.