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
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