Data Platform Architect, Managing Consultant

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.

We are looking for an experienced Data & AI Platform Architect with expertise in cloud‑native data, analytics and AI platforms across the data value chain. You will help design scalable, secure and sustainable platforms for our clients, integrating batch and real‑time processing, robust data management practices, and modern analytics and AI capabilities. You should bring practical experience of data & analytics platforms, alongside an understanding of how Machine Learning, Generative AI and Large Language Models can be applied within enterprise solutions. This role is suited to someone who is comfortable shaping architecture, advising clients, and leading small teams or workstreams, while remaining close to delivery.

Responsibilities

• 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.
• 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

• 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.
• Able 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 is 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 is 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.

Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary (£65,000‑80,000) and a comprehensive benefits plan.

Hybrid Working Model

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.