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Omnicom Group

Global marketing, media, and PR network

Enterprise Data Architect

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeLondon, UK£65k - £95k

About the Job

Requirements

  • At least 8 years of experience in enterprise data architecture, information architecture, data modelling and data strategy, including delivery of customer data solutions.
  • Experience defining data domains and conceptual, logical and physical data models aligned to business concepts and technology implementation, including canonical, domain and analytical models and patterns for customer, shared and reference data.
  • Experience designing identity resolution and single customer view approaches and integrating customer data from multiple channels and source systems to support personalisation and customer analytics.
  • Ability to shape and articulate data strategies aligned to business outcomes, measurable value and wider enterprise architecture.
  • Experience defining enterprise data architecture principles, standards and models, and maintaining architecture artefacts within enterprise repositories.
  • Experience defining data strategy and modelling transition roadmaps, including sequencing, dependencies and pragmatic incremental delivery.
  • Strong understanding of data ownership, stewardship and federated operating models, including responsibilities associated with governed data products.
  • 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 and compliance requirements, including data classification and control models.
  • Experience designing consent, preference and privacy by design into customer data architectures.
  • Experience defining and supporting data migration strategies, including source-to-target mappings, reconciliation, data quality controls and phased cutover.
  • Understanding of how domain and data models translate into physical cloud implementations, including schemas, pipelines, lakehouse and warehouse patterns.
  • Experience working with business stakeholders, including marketing and customer experience teams, to capture data requirements and translate them into data architecture designs and well-defined data products.
  • Ability to communicate complex data concepts and modelling trade-offs to technical and non-technical audiences, and influence senior stakeholders across complex organisational and technology landscapes.
  • Proven ability to lead multiple complex areas of work to time, cost and quality with minimal direction, manage competing priorities and act as a key point of escalation.
  • Experience mentoring architects, analysts and engineers.
  • Active SC clearance is required.

Responsibilities

  • Shape enterprise data architecture and strategy for clients, with a particular focus on customer data.
  • Define data domains, information structures, modelling standards and transition roadmaps that connect business outcomes to governed, implementable data solutions, including a trusted and joined-up view of the customer across channels.
  • Set architectural direction, advise senior stakeholders and lead complex areas of delivery while working closely with data platform architects, engineers, governance specialists, marketing technology consultants and business teams.

Desired Qualifications

  • Retail, consumer, public sector or regulated-industry experience, such as government, healthcare or financial services.
  • Experience with customer data platforms and CRM data models, such as Salesforce or Adobe.
  • Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent.
  • Experience supporting implementation of domain-oriented lakehouse, warehouse or data-product architectures.
  • 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, TOGAF or equivalent qualification.
  • Cloud platform architecture certification; a data specialism is beneficial.
  • Experience using AI or agentic techniques in application of the role through GitHub Copilot, Claude Code or equivalent.

About the Company

Omnicom Group

Global marketing, media, and PR network

Omnicom Group is a global marketing and corporate communications holding company that organizes a network of agencies to offer advertising, strategic media planning and buying, digital marketing, and public relations. Its products and services are delivered through this portfolio of agency networks and specialty firms, generating revenue from project-based fees, commissions, and performance-based incentives. The company uses the Omni platform to base marketing and sales solutions on data, helping turn insights into creative campaigns and media plans. Unlike many competitors, Omnicom combines a wide international footprint with a diversified set of agencies and a centralized data-driven approach, and it expands through strategic acquisitions. Its goal is to help clients grow brands and businesses by delivering coordinated, data-informed marketing and communications across markets worldwide.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1944

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