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

Job Title: Data Architect - Utilities Domain SC GN

Management Level: 09 to 07

Location: Mumbai / Pune / Bangalore / Gurgaon / Hyderabad

Must Have Skills: Enterprise Data Architecture, Data Modeling, Utilities Domain Knowledge, Cloud-based Data Platforms (AWS/Azure/GCP)

Good to Have Skills: Data Governance (Collibra, Purview, Unity Catalog), Data Product Design, Utilities Analytics (Asset Performance, Risk Modeling), SCADA/OMS/PI Historian Knowledge

Experience: Minimum 6 years (with at least 3 years in data architecture)

Educational Qualification: Bachelors Degree in Engineering/Computer Science or related field Cloud/Data Architecture certifications preferred

Job Summary:
As a Data Architect in the Utilities domain, you will lead the design and implementation of modern, scalable, and secure enterprise data architectures. You will define data strategies, create architecture blueprints, and guide delivery teams to ensure alignment with business objectives and technical standards. The role requires strong expertise in data modeling, platform architecture, and integration patterns, with the ability to engage both technical and business stakeholders. While the primary focus is data architecture, experience in data governance frameworks or utilities analytics will be considered an added advantage.

Roles Responsibilities:

• 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.

Professional Technical Skills:

Must To Have Skills:

• 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.

Good To Have Skills:

• 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.

Additional Information:
The ideal candidate will combine deep Utilities domain knowledge with strong data architecture expertise. This is a client-facing role that blends strategic architecture work with the ability to contribute to delivery in technical projects when required.

(do not remove the hyperlink)

Must To Have Skills:

• 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.

Good To Have Skills:

• 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.