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Data Architect - Remote onsite
Remote / Online - Candidates ideally in
Newcastle, Tyne and Wear, SY7, England, UK
Listed on 2026-10-05
Newcastle, Tyne and Wear, SY7, England, UK
Listing for:
Opus Recruitment Solutions
Full Time, Remote/Work from Home
position Listed on 2026-10-05
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
Data Architect
Start
02/11/2026
End
31/12/2026
Remote with 3/4 Days a month onsite in Newcastle
The role of the Data Architect in the New Style Modernisation project is pivotal to its success. As a Data Architect, the worker is responsible for comprehensively understanding the data requirements and objectives for NS modernisation, both JSA and ESA. They act as the bridge between data stakeholders, theme teams, Dataworks and other data stakeholders to be identified.
The data architect plays a crucial role in identifying and documenting the data structures, data processes and systems needed for New Style modernisation ensuring data flows to the right places and National Statistics, along with other requirements are met.
Understand the data and where it goes and for what reason.
E.g., Auditing, Dataworks
Person requirements:
Essential skills and experience:
Data Architecture design and modelling techniques, patterns, tools and standards.
Presenting data architecture design to technical governance forums.
Data Architecture Design:
Data Modelling, Master Data Management (MDM), Metadata Management, Data Governance.
Event-based architecture design, patterns (including pub-sub and data streaming), modelling techniques, tools and standards.
Public cloud technologies, cloud hosting, container, and networking design patterns, tools and best practice (e.g. Amazon Web Services, Microsoft Azure, Google Cloud Platform).
Agile delivery methodologies and best practice.
Dev Ops:
Continuous Integration (CI) and Continuous Delivery (CD) delivery methodologies, tools and best practice.
Shaping and supporting technology initiatives, projects, programmes and portfolios.
Desirable
Skills:
Communicating Data
Data governance
Data modelling
Data standards
Metadata management
Turning business problems into data design
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