Job opportunity
Senior Data Architect/Modeller JP239
Pathlion
The
Senior Data Architect/Modeller
will design and evolve enterprise data architecture and data models to enable scalable analytics, AI, and data products. The role will help establish the future-state data architecture, identify critical data assets, and define standards and integration patterns that enable data to be governed, reusable, accessible, and AI-ready.
Key Responsibilities
Design and maintain
enterprise data architecture and conceptual, logical, and physical data models
supporting AI, analytics, and operational use cases.
Define scalable architecture patterns for the integration, storage, transformation, sharing, and consumption of enterprise data.
Design
reusable data products and common data models
that can support multiple business and AI use cases.
Contribute to the organization's
future-state data architecture , including transition from existing platforms and architectures.
Identify and define
critical data assets and domains
required to support enterprise priorities.
Establish and promote
enterprise data architecture, modelling, interoperability, and integration standards .
Partner with Data Governance teams to embed
data ownership, quality, metadata, lineage, classification, and lifecycle requirements
into architecture and data products.
Assess data requirements and architecture implications for AI, Generative AI, machine learning, advanced analytics, and reporting initiatives.
Work with business, Data & AI, architecture, engineering, and technology teams to translate business requirements into scalable data solutions.
Identify architecture gaps, duplication, data silos, and opportunities to improve data reuse and interoperability across the enterprise.
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Apply on source site Senior Data Architect/Modeller
will design and evolve enterprise data architecture and data models to enable scalable analytics, AI, and data products. The role will help establish the future-state data architecture, identify critical data assets, and define standards and integration patterns that enable data to be governed, reusable, accessible, and AI-ready.
Key Responsibilities
Design and maintain
enterprise data architecture and conceptual, logical, and physical data models
supporting AI, analytics, and operational use cases.
Define scalable architecture patterns for the integration, storage, transformation, sharing, and consumption of enterprise data.
Design
reusable data products and common data models
that can support multiple business and AI use cases.
Contribute to the organization's
future-state data architecture , including transition from existing platforms and architectures.
Identify and define
critical data assets and domains
required to support enterprise priorities.
Establish and promote
enterprise data architecture, modelling, interoperability, and integration standards .
Partner with Data Governance teams to embed
data ownership, quality, metadata, lineage, classification, and lifecycle requirements
into architecture and data products.
Assess data requirements and architecture implications for AI, Generative AI, machine learning, advanced analytics, and reporting initiatives.
Work with business, Data & AI, architecture, engineering, and technology teams to translate business requirements into scalable data solutions.
Identify architecture gaps, duplication, data silos, and opportunities to improve data reuse and interoperability across the enterprise.
#J-18808-Ljbffr