Data Architect

About the role

We are seeking an experienced Data Architect to lead the design and implementation of enterprise‑wide data solutions. The role requires deep expertise in modern data architecture paradigms, strong governance knowledge, and the ability to translate business needs into scalable data platforms.

Key responsibilities

• Design and model conceptual, logical, and physical data models for complex enterprise environments.
• Build and maintain data warehouses, data lakehouse, and data mesh solutions on the AWS platform.
• Develop and optimise ETL and ELT pipelines, including Lambda and Kappa architectures.
• Implement data governance, metadata management, data quality, privacy, and lifecycle policies.
• Create feature stores and associated pipelines to support AI and advanced analytics.
• Collaborate with IT and business leaders, providing guidance and influencing data strategy.
• Work independently and as part of a geo‑diverse, high‑performing team.

Required profile

• 12‑15+ years of overall data experience, with at least 8 years as an Enterprise Data Architect.
• Strong communication and stakeholder‑engagement skills.
• Proven ability to work both autonomously and collaboratively across distributed teams.

Required skills

• AWS (including data services)
• SQL
• Python
• Lambda and Kappa Architecture
• Data lakehouse, data mesh, Data Integration Hub, Data Fabric
• Data governance, metadata management, data quality frameworks
• Data privacy and lifecycle management
• ETL and ELT processes
• Feature store implementation
• PowerBI (reporting semantic layers preferred)
• Confluent Cloud for data integration
• Certifications such as DAMA, TOGAF, CDMP
• AWS Certified Solutions Architect
• Understanding of Microsoft Fabric