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Enterprise Data Architect

Job Description


Highly experienced Enterprise level Data Architect needed for Government contract.  Strong likelihood to extended for 18 months+

Key Responsibilities:
  • Developing enterprise architecture artefacts and processes, to create and embed technology strategy across the data & analytics platform
  • Creating technology roadmaps and IT investment plans that align to organisational plans and strategy
  • Leading the EA design governance for the data & analytics platform and supporting solution architects in the successful delivery of programmes and projects
  • Work with a variety of colleagues, including Architects, Product Owners, and the Engineering and Analytics community, to ensure the best data solutions are delivered
  • Specify at a strategic level the business functions and data subjects needed to support future business, enabling the development of an Information Architecture
  • Set standards for data modelling and design tools and techniques, advising on their application, and ensuring compliance
  • Develop IT principles, standards and architectural framework as well as documenting “as is” and “to be“ architectures and governing the projects to get to our strategic goals.
  • Lead the complete lifecycle for enterprise architecture in the data and applications area, influencing strategy and providing thought leadership to IT and the Business

Skills/Experience:
  • Strong Knowledge and experience of Cloud Data architectures
  • Demonstrable experience of creating enterprise roadmaps and ability to create visualisations that translate said roadmaps to different stakeholder groups
  • Defence or national security background a benefit especially in relation to different information security classifications
  • Extensive Solution Architecture background
  • Experience of developing Enterprise Data Architecture in a large complex organisation
  • Experience as an enterprise data architect, with in-depth knowledge of and able to consult on various technologies and industry best practices around data architecture in both cloud-based and on-prem solutions
  • Experience in end-to-end implementation of data intensive analytics-based initiatives, with a comprehensive understanding of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies
  • Experience of mapping key enterprise data entities to business capabilities and applications supported by a strong knowledge of data lineage from source to output
  • An understanding of big data architectures and emerging trends, with strong analytical and numerical skills which support easy interpretation and analysis of large volumes of data