GN-I&E-Utilities- Data Architect-Analyst

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Data ArchitectData & AI

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Quick Summary

Key Responsibilities

Define target-state data architectures and roadmaps aligned with enterprise and utilities industry best practices. Conduct current-state assessments of data platforms,

Requirements Summary

Bachelor’s Degree in Engineering/Computer Science or related field Cloud/Data Architecture certifications preferred Job Summary:As a Data Architect in the Utilities domain,

Technical Tools

Data ArchitectData & AI

Responsibilities

~1 min read

→Define target-state data architectures and roadmaps aligned with enterprise and utilities industry best practices.
→Conduct current-state assessments of data platforms, integration patterns and data management processes.
→Develop conceptual, logical and physical data models for key domains (customer, billing, asset, metering etc).
→Establish reference architectures for data ingestion, transformation, storage and consumption in cloud/hybrid environments.
→Collaborate with engineering teams to ensure designs are implementable, performant and compliant.
→Partner with business teams to translate requirements into scalable, governed data solutions.
→Advise on technology selection for data platforms, integration and analytics.

Strong background in enterprise data architecture and strategy definition.
Proven experience in the Utilities sector (electricity, gas, or water).
Proficiency in conceptual, logical, and physical data modeling (3NF and dimensional).
Experience with cloud-based data platforms (AWS, Azure, or GCP), data lakes, warehouses, and orchestration tools.
Understanding of cloud-native architectures, data lakehouses, and hybrid integration patterns.

Knowledge of data governance frameworks and tools (Collibra, Purview, Unity Catalog).
Experience in data product design and federated ownership models.
Familiarity with analytics in the utilities domain (asset performance, risk modeling).
Awareness of SCADA, OMS, PI Historian, and other operational systems.

Knowledge of data governance frameworks and tools (Collibra, Purview, Unity Catalog).
Experience in data product design and federated ownership models.
Familiarity with analytics in the utilities domain (asset performance, risk modeling).
Awareness of SCADA, OMS, PI Historian, and other operational systems.

Strong background in enterprise data architecture and strategy definition.
Proven experience in the Utilities sector (electricity, gas, or water).
Proficiency in conceptual, logical, and physical data modeling (3NF and dimensional).
Experience with cloud-based data platforms (AWS, Azure, or GCP), data lakes, warehouses, and orchestration tools.
Understanding of cloud-native architectures, data lakehouses, and hybrid integration patterns.

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