At a Glance
- Tasks: Lead the design and delivery of innovative data and AI solutions for major utility enterprises.
- Company: Join a forward-thinking tech company focused on transforming the energy sector.
- Benefits: Competitive salary, bonuses, and opportunities for professional growth.
- Other info: Dynamic role with global collaboration and mentorship opportunities.
- Why this job: Make a real impact in the energy industry with cutting-edge technology and AI.
- Qualifications: 15+ years in data architecture and hands-on experience with Databricks.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a highly experienced Principal Technology Architect to lead the architecture, design, and delivery of a modern, scalable, and secure data and AI ecosystem for large utility and energy enterprises. This is a multi-year transformation role focused on enabling data-driven operations, advanced analytics, and AI-led decision support across asset-intensive and regulated environments. The role combines hands-on architectural leadership for complex programmes with broader practice responsibilities, including solutioning during pre-sales, thought leadership in data and AI, and mentoring senior architects across a global delivery organisation.
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.
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
Cloud Data Architect - London, UK employer: Infosys Limited
At Infosys, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office is at the forefront of technology transformation, providing employees with unique opportunities for professional growth in data and AI architecture while working on impactful projects within the utility and energy sectors. With competitive compensation, a commitment to diversity, and a focus on mentoring, we empower our team members to excel and make meaningful contributions to the industry.
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