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Omnicom

Enterprise Data Architect, Technology Consulting - London, Leeds, Manchester or Newcastle

  • Hybrid
  • 3-6 years

Salary

£65,000 - 95,000/ year

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Description

Agency:

Credera

Job Function:

Consulting

Job Subfunction:

Technology Consulting

Are you passionate about shaping how organisations use, govern and evolve their data? Does the idea of working with public sector and regulated clients to turn complex business needs into clear domain models and sustainable data architectures excite you? If yes, then read on!

We are looking for an experienced Enterprise Data Architect to help shape enterprise data capabilities for our clients. You will define and maintain data domains, information structures, modelling standards and transition designs that connect business outcomes to governed, implementable data solutions. This role is suited to someone who can advise client stakeholders, lead a small team or workstream and remain close enough to delivery to ensure architecture decisions are practical and adopted.

Responsibilities

  • Contribute to data strategies, principles, target architectures and transition roadmaps aligned to business outcomes
  • Define and maintain business-aligned data domains and conceptual, logical and physical models, including canonical, analytical, shared and reference-data patterns
  • Translate business requirements into data architecture designs, data products, contracts and interoperability guidance
  • Apply and improve enterprise data standards while maintaining architecture models, decisions and traceability within enterprise repositories
  • Support data ownership, stewardship and federated governance approaches, clarifying global and domain decision rights
  • Embed data quality, metadata, lineage, classification, privacy, traceability and auditability into architecture and delivery
  • Shape shared-identifier, master-data and reference-data approaches for defined domains or workstreams
  • Shape data migration and modelling transition approaches, including source-to-target mapping, reconciliation, dependencies, coexistence and phased cutover
  • Work with platform and solution architects to translate domain and logical models into implementable cloud schemas, pipelines, lakehouse, warehouse and integration patterns
  • Lead small teams or workstreams, communicate trade-offs to client stakeholders and mentor architects, analysts and engineers
  • Essential skills
  • Proven experience (5+ years) in enterprise or domain data architecture, information architecture, data modelling and delivery
  • Experience defining data domains and conceptual, logical and physical models that align business concepts with technology implementation
  • Experience applying canonical, analytical, shared and reference-data patterns appropriately rather than forcing one model across every use case
  • Experience contributing to data strategies, principles, standards, target states and transition roadmaps
  • Strong understanding of data ownership, stewardship, data products, contracts and federated governance in enterprise environments
  • Experience applying data management disciplines including governance, data quality, metadata and lineage, with emphasis on traceability and auditability
  • Experience designing data architectures that meet regulatory, privacy, security, classification and retention requirements
  • Experience supporting data migration or system modernisation, including source-to-target mapping, reconciliation, quality controls, coexistence and cutover planning
  • Understanding of how domain and logical models translate into physical cloud implementations, including schemas, pipelines, integration, lakehouse and warehouse patterns
  • Ability to work across business and technology teams and explain modelling, governance and implementation trade-offs to technical and non-technical audiences
  • Experience leading a small team or workstream and delivering agreed outcomes to time, cost and quality expectations
  • Strong problem-solving skills with the ability to assess risks, resolve ambiguity and identify pragmatic solutions
  • Experience supporting and mentoring architects, analysts or engineers
  • You will be required to hold active SC clearance for this role.
  • Desirable skills
  • Public sector or regulated industry experience (government, healthcare, financial services or similar)
  • Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent
  • Experience supporting domain-oriented lakehouse, warehouse or data-product implementations
  • Experience with master-data management, shared identifiers and reference-data governance
  • Working knowledge of TOGAF or equivalent enterprise architecture frameworks
  • Awareness of relevant industry data, interoperability and messaging standards
  • Familiarity with data modelling and architecture tools and repositories
  • Familiarity with SQL and data serialisation or interface formats
  • Data management or architecture certification, such as CDMP, DCAM or TOGAF
  • Cloud platform architecture certification, with a data specialism beneficial
  • Experience using AI or Agentic techniques in application of the role through GitHub Copilot, Claude Code, or equivalent.

Benefits

  • Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary (£65,000-95,000) and a comprehensive benefit plan.
  • Our consistent growth over the years and entrepreneurial environment, provides an excellent platform to embark upon an exciting career path, where your contribution really counts, and we will recognise it. With personalised development opportunities, experienced colleagues around the globe and exciting client assignments, progression can be extremely rapid for high performers. We are a social bunch of people and connect as a team on a regular basis.
  • Learn more Credera is Omnicom’s global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our global delivery model allows us to provide clients with tailored solutions unique to their organisation needs that can scale due to our extensive footprint. As a values-led organisation, our mission is to make an extraordinary impact on our clients, our people, and our community.
  • We believe it is this approach that has allowed us to work with and transform the most influential brands and organisations in the world, from strategy through to execution. More information is available at www.credera.com/en-gb.
  • We are part of the OPM Group of Companies, a division of Omnicom Group Inc. Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.
  • &xa;&xa;
  • Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Where you’d work

Hybrid, 3 days a week in the office

You can work from

  • United Kingdom

About the company

Omnicom

Office in London, United Kingdom

Also hiring in Toronto, Canada, New York, United States, Chicago, United States and 20 more places

3 of their 307 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

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13 checks

1 red flag

How crowded?

6 checks

1 red flag

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • SQL
  • Azure
  • Spark
  • Databricks
  • Snowflake
Type
Full-time
Specialty
Data Engineering
Region
United Kingdom
Pay period
Annual
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Experience
5+ years
Tech stack
  • SQL
  • Azure
  • Spark
  • Databricks
  • Snowflake

Location

Work model
Hybrid
Region
United Kingdom
Office
  • London, United Kingdom
Remote from
  • United Kingdom
Days in the office
3 days

Compensation

Salary
£65,000 - 95,000 / year
Pay period
Annual

Employment

Type
Full-time

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