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

Opus Recruitment Solutions
Newcastle upon Tyne, Tyne & Wear, United Kingdom
Last week
£600 pd

Salary

£600 pd

Work Location
On-site
Posted
5 Oct 2026 (Last week)

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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