The Staff Data Architect is part of GE Vernova Enterprise Analytics and plays a critical leadership role in designing and governing enterprise-scale data architectures that enable analytics, AI, and GenAI solutions. This role supports the GEV Enterprise and Head Quarters domains/functions by ensuring data is well-modeled, trusted, scalable, and AI-ready.
Reporting to the Enterprise/HQ Analytics and AI Leader (or Data Architecture Leader), the Staff Data Architect partners closely with analytics product managers, data engineering, AI/ML/GenAI teams, and business stakeholders. This role owns the end-to-end data architecture, from source systems through curated layers, enabling advanced analytics, operational reporting, and AI-driven insights.

Enterprise & Domain Data Architecture
Define and own enterprise data architecture standards, patterns, and best practices aligned with GE Vernova’s analytics and AI strategy.
Lead conceptual, logical, and physical data modeling across key enterprise domains, including:
Finance (GL, FP&A;, cost, profitability)
Sourcing & Procurement




Treasury & Cash Management
Supply Chain & Logistics
Translate complex business processes into reusable, governed, and scalable data models.

Data Modeling & AI-Ready Data Design
Design analytics-optimized and AI-ready data models, including dimensional, data vault, and lakehouse patterns.
Ensure data structures support:
Business intelligence and advanced analytics
Machine learning and GenAI use cases
Feature engineering and model lifecycle needs
Partner with AI/ML teams to ensure data is fit-for-purpose for predictive, prescriptive, and generative solutions.

Platform & Technology Leadership
Architect and guide solutions on the Databricks Lakehouse platform, including:
Bronze, Silver, and Gold data layers
Unity Catalog and enterprise data governance
Performance, scalability, and cost optimization
Collaborate with cloud and platform teams to ensure architectures are s

📌 Staff Data Architect Bengaluru
🏢 GE Vernova
📍 Bengaluru