As a Data Platform Lead, you will be responsible for defining, building, and operating Dyson's enterprise data platform capabilities. You will lead the design and evolution of modern data platforms that enable data ingestion, storage, processing, governance, analytics, and AI workloads at scale. Working closely with architects, platform engineers, data engineers, data scientists, and business stakeholders, you will ensure that data platforms are reliable, secure, cost-effective, and easy to consume. About the Team The Platform Engineering and Infrastructure team is responsible for building and operating Dyson's core technology platforms across cloud, infrastructure, data, and developer services. The team provides shared capabilities that enable engineering and business teams to build, deploy, and operate solutions efficiently and securely. Working closely with engineering, analytics, AI, and business teams, we provide scalable platform services that simplify technology adoption, improve productivity, and accelerate innovation. Through automation, modern cloud technologies, and engineering best practices, we enable teams to focus on delivering business value rather than managing infrastructure. About the Role As a Data Platform Lead, you will: • Define and drive the strategy, roadmap, and architecture for Dyson's enterprise data platforms. • Design, build, and operate scalable data platform services supporting analytics, reporting, AI, and machine learning workloads. • Lead the implementation of cloud-native data platform solutions across GCP and AWS where required. • Establish platform standards, governance frameworks, security controls, and operational best practices. • Enable self-service data capabilities that improve productivity for data engineers, analysts, and data scientists. • Build and manage platform services for data ingestion, transformation, orchestration, storage, and consumption. • Collaborate with enterprise architects and business stakeholders to understand data platform requirements and priorities. • Ensure platforms meet requirements for availability, performance, security, compliance, and cost efficiency. • Drive automation through Infrastructure as Code, platform engineering, and operational tooling. • Lead platform modernization initiatives and adoption of emerging technologies in analytics and AI. • Mentor engineers and develop technical capabilities within the team. • Manage platform lifecycle, operational support, incident management, and continuous improvement activities. • Drive FinOps and platform optimization initiatives to maximize value from cloud investments. About You You will have: • A degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related discipline. • Significant experience building and operating enterprise-scale data platforms. • Strong understanding of modern data architecture, data engineering, and analytics ecosystems. • Experience with cloud-native data platforms and services in Google Cloud Platform, AWS, or Azure. • Experience with data warehousing, data lakes, lakehouse architectures, and large-scale data processing. • Strong understanding of data governance, security, privacy, and compliance requirements. • Experience with data orchestration, automation, and platform engineering practices. • Knowledge of Infrastructure as Code, CI/CD, and cloud automation frameworks. • Experience supporting analytics, business intelligence, AI, and machine learning workloads. • Strong stakeholder management, communication, and leadership skills. • Excellent problem-solving capabilities and a passion for driving continuous improvement. Desirable Experience • Experience with BigQuery, Databricks, Snowflake, or similar enterprise data platforms. • Experience with real-time data streaming and event-driven architectures. • Knowledge of data catalog, metadata management, and data governance solutions. • Experience supporting enterprise AI and machine learning platforms. • Cloud certifications in GCP, AWS, Azure, or data engineering disciplines. • Experience operating platforms within a multi-cloud environment. Key Behaviours • Demonstrates strong technical leadership and ownership. • Thinks strategically while remaining hands-on when required. • Builds strong relationships across engineering, data, and business teams. • Promotes automation, standardization, and operational excellence. • Champions data-driven decision making and continuous improvement. • Encourages collaboration, innovation, and knowledge sharing. • Maintains a customer-focused mindset and delivers measurable business outcomes.
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
Dyson solves real-world problems and creates better products through the application of engineering, science, design and creativity. It is a family-owned, global technology company, founded by Sir James Dyson who remains at the helm alongside his son Jake.
Since inventing the first cyclonic bagless vacuum cleaner, the DC01, Dyson has consistently invested in research and development to improve its products and technologies radically. Dyson offers products across a growing range of areas: floorcare, air purification, robotics, haircare including formulations, lighting, hand drying, and most recently audio. Dyson continues to expand into new areas.
Today, Dyson sells products in more than 80 markets, has 450 Dyson stores worldwide and is available in all major technology and beauty retailers. Dyson has global headquarters in Singapore and major technology campuses in Singapore, the UK, Malaysia, and the Philippines. Its global team of engineers, scientists and software developers are focused on developing technology-enabled products which work better and which people love to use. Key areas of focus have included high-speed electric digital motors, sensing and vision systems, robotics, machine learning and aerodynamics.
Beyond products, to encourage an inventive future, Dyson is also inspiring the next generation of engineers and inventors through the Dyson Institute of Engineering and Technology, the James Dyson Foundation and the James Dyson Award.
The Dyson family applies its problem-solving approach in other fields, and established Dyson Farming in 2012. It is one of the largest farming businesses in the UK, extending to 36,000 acres across Lincolnshire, Oxfordshire, Gloucestershire and Somerset. It is a family-owned enterprise unlike any other, focussed on long-term investment in British farming and the countryside to grow tasty and nutritious food.
