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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.
Job Responsibility:
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 a 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
Requirements:
Strong knowledge of data modelling (relational, dimensional, NoSQL) 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
Nice to have:
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
What we offer:
up to £3,600 of free shares each year after one year of service
33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
option to buy or sell up to an additional five days of annual leave