At a Glance
- Tasks: Design and implement cloud-native data platforms while advising clients on AI solutions.
- Company: Join Credera, a global consulting firm with a vibrant culture and innovative projects.
- Benefits: Competitive salary, flexible working hours, and rapid career progression opportunities.
- Other info: Collaborative environment with a focus on personal development and team connection.
- Why this job: Make a real impact by shaping data architecture for diverse clients and projects.
- Qualifications: 5+ years in data & analytics, strong cloud platform expertise, and excellent communication skills.
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.
Here’s what you’ll do:
- 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
- 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.
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.
Data Platform Architect, Technology Consulting in London employer: CRELIMUK Credera Limited
Credera is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to lead impactful transformation programmes while mentoring the next generation of consultants. With a flexible hybrid model and a focus on professional growth, employees benefit from diverse opportunities across various sectors, including energy, all within a supportive environment that values client success and teamwork.
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