Senior Data Engineer, Behavior ML Planning & Prediction

Own and set the technical direction for the end-to-end data architecture that unifies our data into a coherent, discoverable, and reliable platform — evaluating design and operational trade-offs across scalability, reliability, and cost with a long-term view rather than optimizing locally

Design and build data pipelines from ingestion through transformation to serving and visualization — sourcing, modeling, and delivering the canonical datasets that turn raw fleet and simulation logs into trusted, reusable data, and keeping them consistent across teams

Set shared technical direction across teams: partner with stakeholders org-wide to understand their data needs, weigh technical trade-offs rigorously and objectively, influence roadmaps, and drive consensus toward a single, trusted data foundation — representing key insights clearly for both technical and non-technical audiences

Define and own data products, Service Level Agreements, and the self-serve dashboards and tooling that scale analytics across the organization, along with the monitoring, alerting, and operational practices that keep those promises

De-risk major architectural bets before the organization commits to them, using rapid prototypes and focused technical investigations to turn open questions into evidence-based decisions

Document architecture, data models, interfaces, and decisions clearly, so that designs, trade-offs, and the resulting datasets are easy for others across the organization to understand, adopt, and maintain

Act as a technical leader beyond the team: mentor engineers, establish data engineering best practices and standards that other teams adopt, and raise the data capability of the wider Autonomy organization