IT & Software

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

Momentum Worldwide

London · Greater London · United Kingdom

Overview

As a Data & AI Platform Architect at Credera, you will design cloud-native data and analytics platforms for clients, aligning technical capabilities with business goals. You’ll work on scalable, secure architectures that blend batch and real-time data processing with AI and ML enablement. You’ll lead small delivery teams, advise clients, and ensure delivery aligns with regulatory and governance standards. This role combines hands-on delivery with strategic guidance in a dynamic, hybrid-work setting that values collaboration and client impact.

Pay / Benefits
  • competitive salary
  • comprehensive benefits
  • development opportunities
  • global collaboration
  • flexible hybrid model
  • rapid progression for high performers
Responsibilities
  • Define cloud-native platform architectures for data, analytics and AI applications
  • Design scalable data and AI platform components to meet client goals
  • Ensure seamless data flow across microservices and API architectures
  • Establish real-time and batch processing practices in hybrid cloud environments
  • Promote AI/ML capabilities and support integration into data platforms
  • Mentor engineers and lead small delivery teams
  • Advise clients on data platform modernization and governance
Key requirements
  • 5+ years in data & analytics and AI solution design and delivery
  • Experience leading small teams or workstreams
  • Strong understanding of cloud-centric solution design and data lifecycle concepts
  • Knowledge of CI/CD and modern IT/infrastructure delivery
  • Ability to articulate AI, ML and data mining concepts to clients and delivery teams
  • Desirable experience in public sector or regulated industries
  • Familiarity with SQL and at least one programming language (Python/Java).
  • Experience with cloud data platforms (AWS or Azure)
  • stakeholder management
  • collaboration across cross-functional teams
  • ability to translate business needs into scalable technical solutions
  • cloud data platforms (AWS, Azure)
  • data warehouse and lakehouse ecosystems (BigQuery, Redshift, Synapse, Snowflake, Databricks)
  • ML/Generative AI technologies

Reference: WJ-747_30200244

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