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, NoSQL, 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, embed...
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