Lead Platform Engineer, Data Platform

Dyson is hiring a Lead Platform Engineer, Data Platform. Level rates it ; you can apply on Level.

AI in this role

Lead the design and operation of Dyson's enterprise data platforms supporting analytics and AI workloads at scale.

databricksgcpawsterraform

data-platformcloud-architecturedata-governanceinfrastructure-as-codeplatform-engineering

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.

How we rate this

Lead Platform Engineer, Data Platform at Dyson rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Lead Platform Engineer, Data Platform is an open job at Dyson.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in India - Bangalore IT Capability Centre.
The job was posted on October 9, 2026.
Seniority: lead.
Applications are handled by Dyson. Apply on Dyson

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data PlatformCloud ArchitectureData GovernanceInfrastructure As CodePlatform EngineeringDatabricksGoogle CloudAWS

Questions you could be asked

Tell me about a project where data platform was part of your work. What did you do?
Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where infrastructure as code was part of your work. What did you do?
Tell me about a project where platform engineering was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Platform, Cloud Architecture, Data Governance, Infrastructure As Code, and Platform Engineering. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review Check your resume with the ATS resume checker

Get new software engineering jobs (Works on AI ●●●○ or higher) by email

One email a week with the new software engineering jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.