3 of 3 Architectural Patterns Jobs in Lanarkshire

technology group that is shaping the bank's strategic streaming and Operational Data Store (ODS) capabilities. This is an organisation that values technical excellence, architectural integrity, and hands-on innovation, giving you the platform to influence major programmes and deliver real impact. Your new role As a Hands … will also play a central role in architecture governance: contributing to distribution reviews, ensuring standards compliance, preparing approval board submissions, and championing adherence to architectural patterns and guardrails across the streaming & ODS pillar. What you'll need to succeed Deep, hands-on expertise in Kafka/Confluent ...

technology transformation. The technology landscape has recently evolved from a single outsourced provider to a complex multi-supplier environment, creating the need for strong architectural leadership to provide clarity, coherence, and direction across the enterprise. This is a senior, influential role for an experienced Principal Enterprise Architect … organisation. Key responsibilities include: Owning and maintaining the enterprise architecture blueprint, ensuring alignment to business strategy and transformation objectives Providing a holistic, enterprise-wide architectural view across applications, data, infrastructure, cloud, and digital platforms Acting as a senior architectural authority, influencing and constructively challenging third-party suppliers ...

engineers, governance specialists, and technology architects. You'll help set the direction for the organisation's data landscape while remaining close to delivery, ensuring architectural decisions translate into practical, scalable solutions that teams can build against. This is a role for a Data Architect comfortable operating at both … architectures within complex or enterprise environments Experience contributing to data strategy as well as hands-on architectural design Understanding of modern data architecture patterns and approaches Solid grasp of data engineering practices, including integration, transformation, and pipelines Good awareness of data governance principles, data quality, and ownership ...