Lead Data Platform Architect

The Opportunity

Business Unit Service is at the forefront of delivering advanced digital and outcome-based service solutions worldwide. Our Service R&D organization develops next-generation digital, data-driven, and OT-integrated service solutions that enable long-term asset performance, reliability, and operational excellence across the energy and industrial domain.

As Lead Data Platform Architect, you will play a key role in defining and evolving the data platform foundation that underpins BU Service digital service solutions. You will ensure that data platforms spanning cloud services, IoT and OT data sources, analytics, and AI enablement are architected, governed, and operated to support scalable, secure, and high-quality digital solutions.

This role directly impacts the success of data-driven services, advanced analytics, and AI-powered use cases, where data quality, availability, and reliability are critical for business value and customer trust.

How You'll Make an Impact

• Defining and owning the data platform strategy and architecture for digital service solutions, covering cloud-native data platforms, data lakes/lakehouses, streaming and batch pipelines, and analytics services.

• Establishing architectural principles and standards aligned with modern cloud delivery models, industrial scalability, and long-lifecycle service solutions.

• Governing data ingestion and integration patterns from cloud services, enterprise systems, IoT, OT devices, and edge software.

• Designing and maintaining data models, schemas, and integration patterns that ensure consistent, reusable, and high-quality data across solutions.

• Establishing and operating data governance frameworks, including data quality, lineage, traceability, ownership, and lifecycle management.

• Ensuring compliance with cybersecurity, regulatory, and industrial data handling requirements.

• Enabling advanced analytics, AI/ML, and digital twin use cases through appropriate data platform capabilities, pipelines, and analytics services.

• Guiding implementation of robust, scalable data pipelines and storage solutions in collaboration with development, platform, DevOps, AI, cybersecurity, and IT teams.

• Integrating data platform components into CI/CD pipelines, supporting automated testing, deployment, and governance controls.

• Defining and monitoring key metrics related to data quality, platform reliability, usage, and business impact.

• University degree (Bachelor's or Master's) in Data Science, Computer Science, Engineering, or a related technical field.

• Proven experience in designing, implementing, or governing cloud-based data platforms in complex digital or industrial environments.

• Strong understanding of data modeling, data pipelines, and data lifecycle management.

• Experience with data ingestion from IoT, OT, and enterprise systems.

• Solid knowledge of data governance, data quality management, and traceability concepts.

• Experience working in agile, hybrid, or scaled development environments.

• Strong communication skills and ability to collaborate across global, cross-functional teams

• A strategic leadership role where your work directly shapes the quality and reliability of next-generation digital service solutions

• The opportunity to operate at enterprise scale, influencing standards, capabilities, and ways of working beyond individual projects

• A collaborative, technology-driven environment with strong links to innovation, R&D, and service transformation

• Exposure to complex, real-world digital challenges across cloud, edge, and industrial domains

• A role designed for experienced professionals who want to combine technical depth with organizational leadership and strategic impact