Data Architect; FTC)

Position: Data Architect (8 Month FTC)
Our client is a digital consultancy.

Who We Are:

Our client are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or ‘Clubs') so that our partners are always prioritised by a regional team close to them.

This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,300 people with Clubs all over the UK and Europe with plans for global expansion in the next couple of years. Join us - and help us fulfil our mission to close the world's digital skills gap.

The role A hands-on Data Architect responsible for defining data strategy, architectural principles, guardrails and target/transition architectures within a complex, cloud-native environment. Combines strategic leadership with deep technical expertise in data modelling, detailed design, distributed systems and engineering problem-solving.

Key Responsibilities & Skills Data Architecture & Strategy:
Define and evolve data strategy, architecture principles, standards and target-state roadmaps, balancing scalability, resilience, security, cost and delivery speed. Cloud-Native & Distributed Systems:
Deep expertise in microservices, domain-driven design (DDD), bounded contexts, data ownership, event-driven integration, eventual consistency and distributed transactions. Event Streaming:
Hands-on experience designing and operating Kafka, Kinesis or equivalent platforms, including partitioning, ordering, event contracts, schema evolution, idempotency, replay, delivery guarantees, fault tolerance, security and operational support. Data Modelling & Storage:
Strong data modelling skills and the ability to select appropriate data stores—including relational, No

SQL, graph, time-series, distributed SQL and lakehouse technologies—based on business and technical requirements. End-to-End Data Flows:
Architect operational and analytical data pipelines across APIs, streaming, CDC, batch and ETL/ELT, embedding data quality, lineage, metadata, security, testing and observability throughout. Technical Leadership & Delivery:
Work closely with engineering and product teams in fast-paced agile environments, making pragmatic trade-offs and establishing lightweight guardrails, automation and architecture decision records. Risk, Security & Resilience:
Design secure, well-governed cloud data architectures that support sensitive data handling, operational resilience, traceable controls and regulatory obligations. AI-Assisted Engineering:
Practical experimentation with AI-assisted architecture and engineering tools, understanding their benefits and limitations across research, modelling, coding, testing and documentation.

Desirable Experience UK wealth management, financial services or fintech experience; candidates from other complex, regulated industries will also be considered. Legacy modernisation experience involving Oracle, Sybase, ISAM storage and SFTP/file-based integration, including migration, coexistence, reconciliation, CDC and progressive decoupling. Why join our client? We have three values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for our client.

We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem-solving. By joining our client, we'll provide:
Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a…