Principal Technology Architect - Databricks - London, UK

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    "raw": "Role: Principal Technology Architect – Data, AI & Platform Architecture\n Technology: Databricks\n Location: London, UK\n Compensation: Competitive (including bonus)\n Job Description\nToday, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.\nAt Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.\n Role Overview\nWe 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.\nThe 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.\n Key Responsibilities\n• Own the end to end architecture and delivery of strategic data and AI platform programmes, from early solution shaping through implementation.\n• Collaborate with business stakeholders, enterprise architects, delivery leaders, and partners to define and execute the enterprise data and AI strategy.\n• Architect and guide implementation using the Databricks Data Intelligence Platform, covering lakehouse architecture, data engineering, governance, machine learning, and AI enabled analytics.\n• 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.\n• 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.\n• Establish and govern data management, quality, security, and compliance frameworks aligned with utility regulatory, operational resilience, and privacy requirements.\n• Lead solutioning and architecture during pre sales, including RFP responses, target and transition architectures, transformation roadmaps, and client workshops.\n• Provide hands on architectural leadership within a global delivery model, ensuring consistency, quality, and alignment across geographically distributed teams.\n• Mentor and develop senior architects and technical leaders, contributing to design authority and architectural best practice.\n Required Qualifications\n• 15+ years’ experience in data, analytics, and platform architecture, delivering large scale enterprise transformations.\n• 5+ years of hands on experience with Databricks",
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Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.<br><br><strong>Role Overview</strong><br>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.<br>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.<br><br><strong>Key Responsibilities</strong><br>•&nbsp;&nbsp; &nbsp;Own the end to end architecture and delivery of strategic data and AI platform programmes, from early solution shaping through implementation.<br>•&nbsp;&nbsp; &nbsp;Collaborate with business stakeholders, enterprise architects, delivery leaders, and partners to define and execute the enterprise data and AI strategy.<br>•&nbsp;&nbsp; &nbsp;Architect and guide implementation using the Databricks Data Intelligence Platform, covering lakehouse architecture, data engineering, governance, machine learning, and AI enabled analytics.<br>•&nbsp;&nbsp; &nbsp;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.<br>•&nbsp;&nbsp; &nbsp;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.<br>•&nbsp;&nbsp; &nbsp;Establish and govern data management, quality, security, and compliance frameworks aligned with utility regulatory, operational resilience, and privacy requirements.<br>•&nbsp;&nbsp; &nbsp;Lead solutioning and architecture during pre sales, including RFP responses, target and transition architectures, transformation roadmaps, and client workshops.<br>•&nbsp;&nbsp; &nbsp;Provide hands on architectural leadership within a global delivery model, ensuring consistency, quality, and alignment across geographically distributed teams.<br>•&nbsp;&nbsp; &nbsp;Mentor and develop senior architects and technical leaders, contributing to design authority and architectural best practice.<br><br><strong>Required Qualifications</strong><br>•&nbsp;&nbsp; &nbsp;15+ years’ experience in data, analytics, and platform architecture, delivering large scale enterprise transformations.<br>•&nbsp;&nbsp; &nbsp;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.<br>•&nbsp;&nbsp; &nbsp;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.<br>•&nbsp;&nbsp; &nbsp;Experience delivering production grade AI solutions in regulated or complex environments, with awareness of responsible AI, governance, and explainability.<br>•&nbsp;&nbsp; &nbsp;Deep knowledge of modern data and AI architectures, including lakehouse, medallion design, federated governance, cloud native integration, and AI enabled analytics patterns.<br>•&nbsp;&nbsp; &nbsp;Proven experience leading or supporting architecture and solution design during pre sales and large bids.<br>•&nbsp;&nbsp; &nbsp;Excellent communication skills, with the ability to influence senior technical and non technical stakeholders.<br>•&nbsp;&nbsp; &nbsp;Demonstrated ability to lead, mentor, and develop globally distributed, cross functional teams.<br><br><strong>Preferred Experience</strong><br>•&nbsp;&nbsp; &nbsp;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.<br>•&nbsp;&nbsp; &nbsp;Familiarity with utility industry data standards, interoperability patterns, and enterprise governance frameworks.<br>•&nbsp;&nbsp; &nbsp;Experience operating in multi vendor and multi cloud environments.<br><br><strong>Overview</strong><br>Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation.<br>With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.<br><br><strong>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.</strong></span>",
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