Data Platform Architect

Data Solutions Architect – Admiral Money About Us

Admiral Money is the dynamic lending arm of Admiral Group, offering personal loans, motor finance, and homeowner loans since 2017. We’re building something special for our customers and are looking for curious, driven individuals ready to learn, take on challenges, and make an impact.

We’re proud to be a certified Great Place to Work for over 25 years, with recognition for Women and Wellbeing. Our inclusive culture empowers everyone to Be You.

Need support during the recruitment process? Just let us know – we’re here to help.

As a Data Solutions Architect within Admiral Money, the role focuses on designing and implementing enterprise‑grade data solutions that enable trusted, governed, and high‑quality data for consumption, analytics, and decision‑making.

This is a hands‑on architecture role. Alongside defining standards and patterns, the role involves building proof‑of‑concepts, contributing to implementation, and working directly with code and infrastructure. You’ll need to understand how upstream operational systems produce data and architect solutions that take account of source system behaviours, data quality at origin, and integration complexity.

This role ensures alignment with the organisation’s data and technology strategies, using the DCAM‑based capability maturity model and vendor‑neutral principles, with a focus on interoperability, scalability, and compliance.

• Design data pipelines and integration architectures that extract, transform, and load data from operational source systems
• Define and maintain enterprise data architecture standards aligned with DCAM principles
• Develop integration patterns for structured, semi‑structured, and unstructured data
• Create solutions and tooling roadmap aligned to analytical capabilities
• Partner with engineering teams to deliver cloud‑native data solutions
• Understand, influence, and document how upstream systems produce data, ensuring solutions account for source system behaviour, data quality at origin, and change data capture requirements
• Embed data governance, quality, and lineage capabilities into all solutions
• Promote metadata management and data cataloguing to build transparency and trust
• Act as a trusted advisor to business and technology teams on data architecture best practices
• Monitor emerging technologies and recommend appropriate approaches

• Design and help deliver scalable, secure, and interoperable data solutions
• Build proof‑of‑concepts and reference implementations to demonstrate architectural patterns
• Support modernisation initiatives, including migration from legacy platforms
• Work with source system owners to understand data production methods and integration requirements
• Ensure compliance with regulatory requirements and internal policies through technical controls
• Drive continuous improvement in data architecture maturity

• Strong knowledge of data modelling (relational, dimensional, No
  
  SQL) with hands‑on production experience
• Experience with cloud‑native data services such as S3, Athena, and Redshift
• Experience designing and building data pipelines using Python
• Knowledge of data integration patterns including batch ETL, real‑time streaming, event‑driven architectures, and API design
• Understanding of modern analytics tooling and platforms
• Familiarity with multiple cloud platforms and open‑source technologies
• Understanding of data governance frameworks (e.g., DCAM, DAMA) and experience embedding governance into technical solutions
• Ability to work across the stack, from source systems through to consumption‑layer data products
• Strong communication skills, with the ability to explain technical concepts to non‑technical stakeholders

• AWS certifications
• Certifications in data architecture or data governance
• Experience with data cataloguing and lineage tools
• Knowledge of advanced analytics and AI/ML data enablement
• Experience using infrastructure‑as‑code tools such as Terraform

• Hands‑on with a modern AWS‑based data platform, including:
  Cloud platform: AWS (S3, Glue, Athena, Redshift, Lambda, Event Bridge), Power BI, dbt, Apache…