Lead the design of enterprise-level data architectures, integrating complex system landscapes (MDM, CRM, ERP, Cloud Data Warehouses)
Architect and implement modern cloud data platforms (AWS, Azure, GCP) using technologies such as Snowflake and Databricks
Define scalable, high-performance solutions covering data modelling, data integration, transformation pipelines, and DevOps practices
Design and oversee end-to-end data platform implementations, balancing performance, cost, scalability, and maintainability
Guide engineering teams (onshore and offshore) and ensure high coding standards and architectural best practices
Support clients in building AI-ready data foundations, including integration with GenAI platforms
Contribute to business development activities and strengthen market positioning
Mentor junior consultants and help grow internal expertise within AI & Data

8+ years of experience as a Data Architect in complex cloud-based ecosystems
Previous hands-on background as a Data Engineer (AWS, Azure, GCP, Snowflake, Databricks)
Proven experience leading architecture decisions and influencing both business and IT stakeholders
Strong experience with: Conceptual, logical, and physical data modelling
Dimensional modelling and Data Vault
Lakehouse / Medallion / event-driven architectures
Experience integrating ERP, CRM, operational systems, APIs, and AI platforms
Ability to review engineering work (SQL, Python, Spark)

Senior Manager – Data Architect, AI & Data

Key skills