Description

Key Responsibilities

 

• Own the end to end architecture and delivery of strategic data and AI platform programmes, from early solution shaping through implementation.
• Collaborate with business stakeholders, enterprise architects, delivery leaders, and partners to define and execute the enterprise data and AI strategy.
• Architect and guide implementation using the Databricks Data Intelligence Platform, covering lakehouse architecture, data engineering, governance, machine learning, and AI enabled analytics.
• Define reference architectures, domain data models, and integration patterns across utility domains such as grid operations, asset management, customer operations, market operations, and smart metering.
• Lead AI architecture and AI engineering for utility use cases such as predictive maintenance, outage prediction, demand forecasting, anomaly detection, and operational decision support, while embedding responsible AI and governance.
• Establish and govern data management, quality, security, and compliance frameworks aligned with utility regulatory, operational resilience, and privacy requirements.
• Lead solutioning and architecture during pre sales, including RFP responses, target and transition architectures, transformation roadmaps, and client workshops.
• Provide hands on architectural leadership within a global delivery model, ensuring consistency, quality, and alignment across geographically distributed teams.
• Mentor and develop senior architects and technical leaders, contributing to design authority and architectural best practice.
  
   

Required Qualifications

 

• 15+ years’ experience in data, analytics, and platform architecture, delivering large scale enterprise transformations.
• 5+ years of hands on experience with Databricks or similar modern cloud data platform technologies, including lakehouse architecture, Delta Lake, and governed enterprise data platforms.
• Strong experience in AI architecture and AI engineering, including end to end AI/ML solution design covering data pipelines, feature engineering, model lifecycle, deployment, and MLOps.
• Experience delivering production grade AI solutions in regulated or complex environments, with awareness of responsible AI, governance, and explainability.
• Deep knowledge of modern data and AI architectures, including lakehouse, medallion design, federated governance, cloud native integration, and AI enabled analytics patterns.
• Proven experience leading or supporting architecture and solution design during pre sales and large bids.
• Excellent communication skills, with the ability to influence senior technical and non technical stakeholders.
• Demonstrated ability to lead, mentor, and develop globally distributed, cross functional teams.
  
   

Preferred Experience

 

• Experience in Utilities or Energy data transformation, including one or more of grid operations, asset performance management, smart meter analytics, outage management, renewable integration, or customer operations.
• Familiarity with utility industry data standards, interoperability patterns, and enterprise governance frameworks.
• Experience operating in multi vendor and multi cloud environments

Key Skills

Education

Bachelor's degree