Data Platform Architect, Technology Consulting

Credera; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Credera is seeking a data and AI architecture leader to design cloud-native platforms for data, analytics and AI-enabled solutions. You will work on diverse client engagements across multiple industries, delivering hands-on architecture and practical implementations.

Role supports a flexible hybrid model with three days onsite either at client sites or Credera offices in London, Manchester, Leeds or Newcastle.

Qualifications

• 5+ years in data & analytics and AI solution design and delivery.
• Experience leading small teams or workstreams.
• Strong cloud-centric solution design and architecture understanding.
• Knowledge of data lifecycle and CI/CD for IT delivery.
• Ability to articulate AI, ML and data mining concepts clearly.

Responsibilities

• Define and implement cloud-native data platform and AI architectures for PaaS/SaaS.
• Promote best practices for data analytics, ML/Generative AI capabilities, and integration.
• Ensure data security, governance, and lifecycle management across environments.
• Advise clients and mentor engineers, aligning solutions with business goals.

Skills

Data & Analytics

AI solution design

Cloud-centric architecture

Stakeholder management

Communication

Tools

AWS

Azure

BigQuery

Databricks

SQL

Python/Java

Job description

Overview

We know great talent comes in many forms - including people returning from a career break. If you’re looking for part-time hours, flexible working, or a supportive transition back into your career, we’d love to explore how we can make this role work for you. Are you passionate about developing a career in technology? Does the idea of working for different clients on complex business-critical IT projects excite you? If yes, then read on! This role combines strong foundations in cloud-native data platform architecture with practical experience of modern AI-enabled data solutions, while remaining focused on hands‑on delivery and client value. At Credera we operate a flexible hybrid working model. This includes 3 days per week working onsite – either at client site (as required) or in your local Credera office (London, Manchester, Leeds or Newcastle). We value collaboration and client impact, so our hybrid model is designed to strike a balance between flexibility, in‑person connection, and delivering exceptional outcomes for our clients.

Responsibilities

• Platform, Data & AI Architecture

  Define and implement platform architectures for cloud‑native PaaS and SaaS applications with a focus on data, analytics and AI. Design scalable data and AI platform components that support client business and strategic goals. Ensure seamless data flow across microservices‑ and API‑driven architectures. Establish best practices for real‑time and batch processing in hybrid cloud environments.

• Analytics, AI & ML Enablement

  Define and promote principles and best practices to help clients leverage data using modern analytics technologies. Support the integration of Machine Learning and Generative AI capabilities into data platforms or solutions, ensuring they are scalable, secure and aligned to business needs. Contribute to AI and LLM proof of concepts and early industrialisation activities, also demonstrating how modern generative models or agentic development approaches can enhance data processing and analytics solutions. Contribute to the adoption of advanced analytics and AI capabilities, including MLOps and AIOps.

• Data Management, Security & Governance

  Ensure data security and compliance with relevant standards and regulations, particularly in public sector and regulated environments. Implement robust data management and governance strategies to support long‑term sustainability. Apply strong understanding of the full data lifecycle to architecture and delivery decisions.

• Consulting & Collaboration

  Advise clients on data platform and analytics modernisation strategies. Work closely with business, engineering and policy teams to align solutions with organisational goals. Translate business needs into scalable technical solutions and provide clear architectural guidance. Support and mentor engineers and other team members within small delivery teams, helping to foster innovation and quality in delivery.

Experience & Qualifications

• Proven experience (5+ years) in data & analytics, and AI solution design and delivery.
• Experience leading solution implementation for small teams or workstreams.
• Strong understanding of cloud‑centric approaches to solution design and architecture.
• Strong understanding of core data management concepts across the full data lifecycle.
• Good understanding of CI/CD and modern approaches to IT and infrastructure delivery.
• Ability to clearly articulate key concepts in AI, Machine Learning and Data Mining, and explain how they can be leveraged effectively within modern data platform solutions.
• Public sector or regulated industry experience desirable, including sectors such as government or healthcare.

Technical Expertise

• Expertise in cloud data platforms across AWS or Azure.
• Experience with modern data warehouse and lakehouse ecosystems such as BigQuery, Redshift, Synapse, Snowflake or Databricks.
• Familiarity with Machine Learning and Generative AI technologies.
• Active interest in agentic development approaches.
• Familiarity with SQL and Python or Java.
• Familiarity with Infrastructure as Code for cloud platform delivery.
• Cloud platform architecture certification desirable, with a data or AI specialism beneficial.

Soft Skills

• Strong stakeholder management and consulting skills.
• Ability to collaborate effectively across cross‑functional teams.
• Ability to translate business objectives into pragmatic, scalable technical solutions.
• Experience contributing to or supporting solutions through enterprise architectural governance.
• Strong communication skills with the confidence to advise clients and delivery teams alike.

Benefits

Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary and a comprehensive benefits plan. Our consistent growth and entrepreneurial environment provide an excellent platform to embark upon an exciting career path, where your contribution really counts.

Company Information

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.

Legal & Privacy

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. We are committed to hiring and developing exceptional talent. We strongly believe that celebrating what makes us different makes us better together. Join us – we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/