Leads enterprise technology strategy for analytics and AI, designing scalable cloud-native data architectures, distributed systems, real-time streaming, and modern data platforms. Establishes reusable architecture patterns, data management practices, governance approaches, and automation strategies within regulated environments. Partners with stakeholders through a consultative approach and evaluates AI, master data, reference data, and data contract implications for enterprise delivery.
Must Have:
Knowledge of cloud database technologies, distributed systems and scalable data workload architecture, including Real Time Streaming
Understanding of modern enterprise data platforms, data sourcing patterns and constraints, ETL/ELT patterns,. Data Modelling techniques and trade offs
Grounding on enterprise data management best practices within a regulated enterprise context
Experience designing scalable cloud-native Data architectures (e.g., Azure, GCP
Demonstrable ability to translate complex architectures into reusable enterprise design patterns
Ability to comprehend a complex estate, string Stakeholder management, Consultative approach, Adaptability
Nice to have:
Exposure to AI, applied and enabling, and its effect on both the demand side for data as well as the implications for delivery of data platforms
Experience in automation in the data management space, including Data Contracts
Familiarity with Data Management and Governance Technology such as Collibra, Dataplex, Purview, Attacamma etc (not specific to these vendors, but the industry)
Master & Reference Data Management best practices experience
Worked experience on tech delivery of Real Time data patterns
Knowledge of cloud database technologies, distributed systems and scalable data workload architecture, including Real Time Streaming
Understanding of modern enterprise data platforms, data sourcing patterns and constraints, ETL/ELT patterns,. Data Modelling techniques and trade offs
Grounding on enterprise data management best practices within a regulated enterprise context
Experience designing scalable cloud-native Data architectures (e.g., Azure, GCP
Demonstrable ability to translate complex architectures into reusable enterprise design patterns
Ability to comprehend a complex estate, string Stakeholder management, Consultative approach, Adaptability
Nice to have:
Exposure to AI, applied and enabling, and its effect on both the demand side for data as well as the implications for delivery of data platforms
Experience in automation in the data management space, including Data Contracts
Familiarity with Data Management and Governance Technology such as Collibra, Dataplex, Purview, Attacamma etc (not specific to these vendors, but the industry)
Master & Reference Data Management best practices experience
Worked experience on tech delivery of Real Time data patterns
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