Lead Data Architect - 12-Month Contract - London(Hybrid) - Inside IR35

Hamilton Barnes
London, UK
3 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£143,000.0
Working hours
Regular working hours

Tech stack

Application Frameworks Big Data Data Architecture Data Infrastructure Data Transformation Information Lifecycle Management Interoperability Domain Driven Design Databricks

Job description

We’re recruiting for a Lead Data Architect to provide overall technology leadership for a data transformation programme for a leading financial services organisation, with accountability for data architecture, Data Mesh implementation, and end-to-end delivery of data products - working with client leadership, domain teams, architects, analysts, modellers, platform teams, and engineers to translate business priorities into scalable data products and reusable enterprise capabilities., * Define and govern the overall data architecture, Data Mesh implementation approach, and data product delivery principles for the programme

  • Act as overall programme technology lead, ensuring alignment across business priorities, domain architecture, data modelling, platform capabilities, engineering, governance, and consumption requirements
  • Work with client management to support strategy definition, delivery planning, implementation oversight, and architectural decision-making
  • Collaborate with domain consultants and business stakeholders to identify, define, decompose, and prioritise data products
  • Establish architecture standards and decision frameworks for data product boundaries, domain ownership, interoperability, sharing, discoverability, quality, security, and lifecycle management
  • Lead design of reusable frameworks, foundational capabilities, templates, and components accelerating the data product lifecycle

Requirements

  • Strong experience leading enterprise data architecture and large-scale data transformation programmes
  • Deep understanding of Data Mesh, data products, domain-driven design, federated governance, and data-as-a-product principles
  • Experience defining enterprise, domain, conceptual, logical, and physical data architectures
  • Strong understanding of end-to-end data lifecycle management
  • Experience designing reusable data platform capabilities, engineering frameworks, and delivery accelerators
  • Ability to translate business strategy into pragmatic architecture and executable delivery plans
  • Experience leading POCs, technology evaluations, and executive-level presentations
  • Strong understanding of modern data platforms such as Databricks

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