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Data Architect - Remote with 3/4 Days a month onsite in Newcastle

Opus Recruitment SolutionsNewcastle Upon Tyne, Tyne And Wear🇬🇧United Kingdom

Why this role stands out

This remote Data Architect role offers a fantastic opportunity to shape critical data modernization initiatives within a reputable organization, providing significant impact and skill development. You'll thrive here if you possess strong data architecture design, cloud, and agile experience, and enjoy collaborating to translate complex business needs into elegant data solutions. Embrace this chance to grow your career with flexibility and meaningful contribution.

Quick overview

SeniorityMid Senior
Employment typeTemporary/Casual
Work modeRemote
LocationNewcastle Upon Tyne, Tyne And Wear, United Kingdom
AgileAzureGoogle Cloud

Job description

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.

DevOps: 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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