Enterprise Data Architect

About the role

We are looking for an Enterprise Data Architect to lead the design, governance and evolution of our enterprise‑wide data architecture. The role will support strategic decision‑making, advanced analytics and AI initiatives across our high‑performance innovation hub.

Key responsibilities

• Define and maintain the enterprise data architecture using TOGAF and DAMA‑DMBOK principles.
• Design scalable, cloud‑native data platforms that enable data science and AI workloads.
• Provide architectural guidance for data integration, data modelling, metadata management and data governance.
• Collaborate with application, procurement and integration teams to ensure data solutions meet business requirements.
• Establish technical data authority, security standards and compliance with data‑privacy regulations.

Required profile

• Minimum Bachelor’s degree in Computer Science, Information Systems, Data Engineering or related field.
• 8+ years of experience in data architecture, data engineering or enterprise data management.
• Strong knowledge of cloud platforms (AWS, Azure, GCP) and modern data services.
• Proven ability to apply TOGAF and DAMA‑DMBOK frameworks in large‑scale environments.
• Experience in healthcare, retail or insurance data ecosystems is a plus.

Required skills

• Cloud platforms: AWS, Azure, Google Cloud.
• Data services: Azure Synapse, AWS Redshift, GCP BigQuery, Snowflake, Databricks.
• Data integration/orchestration tools: Airflow, SAP Business Data Cloud.
• Data modelling, metadata management and data governance.
• Distributed systems and big‑data architectures.