Data Platform Lead, Wayve

• 5+ years of experience in data platform or data engineering leadership roles, with proven delivery of scalable, production-grade systems
• Strong track record in building and scaling data pipelines for complex, multi-source environments, including real-world telemetry and partner datasets
• Expertise in data standardisation and schema design, enabling clean handoff of curated datasets into downstream ML and engineering pipelines
• Hands-on experience with modern data orchestration and distributed processing frameworks (Airflow, Dagster, Flyte, Spark, Beam, etc.)
• Deep understanding of cloud-native architectures (Kubernetes, serverless, containerised data pipelines) and observability practices
• Excellent cross-functional collaboration skills, with experience working across product, SaaS engineering, and ML/AI teams
• Demonstrated technical leadership, with a track record of mentoring engineers and setting long-term data platform strategy
• Bachelor’s degree or higher in Computer Science, Engineering, or related technical discipline

Desirable

• As the Data Platform Lead for the Wayve Portal, you will be responsible for shaping and scaling the core data platform that underpins our SaaS product for autonomous vehicle partners
• The Portal enables our customers to access releases, performance monitoring, and insights powered by complex data flows
• Your leadership will ensure the platform reliably ingests and standardises autonomous driving data — from customer fleets, simulations, and third-party partners — before distributing it both to Portal services and to Core Engineering pipelines for downstream model development
• Equally, you will ensure the Portal can integrate validation data and performance insights from Core Engineering back into the customer experience, enabling dashboards, analytics, and continuous feedback loops that build trust and deliver measurable value to our partners
• This role is central to ensuring that the Portal delivers trustworthy, performant, and user-friendly data experiences for customers, while also enabling clean, consistent data handoff to internal ML engineering and research
• Define and execute the data platform architecture and roadmap for the Wayve Portal
• Drive innovation in data pipelines and APIs to support dynamic use-cases such as performance dashboards, release analytics, and partner data exchange
• Balance near-term MVP delivery with long-term scalability and resilience
• Lead the design and implementation of data ingestion, transformation, and distribution pipelines powering the Portal
• Build robust systems for normalising and unifying autonomous driving data — including fleet telemetry, simulation results, and partner datasets — into standardised formats
• Ensure seamless, reliable handoff of curated data into Core Engineering systems for ML training, validation, and research
• Enable feedback flows by integrating validation data and performance results from Core Engineering back into the Portal, powering dashboards, performance monitoring, and insights for customers
• Develop extensible pipelines to support additional customer-facing insights, including trend analysis, release impact, and operational metrics
• Enable self-serve data access for internal teams and customers, ensuring reliability and transparency
• Establish and maintain data quality, observability, and monitoring standards across the platform
• Partner with Core Engineering, ML, and robotics teams to align Portal data standardisation with internal model development needs
• Collaborate with infrastructure and security teams to ensure robust identity, access management, and secure third-party data integrations
• Work closely with product and design to ensure Portal data features deliver maximum customer value while meeting internal standards
• Mentor and grow engineering talent, promoting technical excellence and strong delivery culture