Platform Engineer

• Serve as the technical authority for data platform and tracking architecture—guiding design decisions, tool selection, and engineering best practices.
• Design a next-generation data & AI platform that supports near-real-time ingestion, enrichment, and model-driven product features.
• Translate AI Engineering requirements into clear specifications and capability roadmaps through spec-driven development.
• Define and implement modern data governance: data quality, lineage, ownership, observability, and cost visibility.
• Evaluate, consolidate, or replace redundant technologies, introducing scalable SaaS solutions where appropriate.
• Own and extend core AI-platform components, including: Arize AI (evals & observability), LLM Gateway (model routing, policies, cost controls), Pinecone (vector database), Model access APIs, OTEL collector for trace processing.
• Take full ownership of the AI Infrastructure components currently run by AI Engineering—ensuring reliability, scale, and clear fallback strategies.
• Document existing workflows across Analytics Engineering, Data Engineering, and AI Engineering to identify automation and process improvements.
• Introduce streamlined development pathways for AI—templates for CI/CD, GitOps, Python microservices, and AI-specific libraries.
• Implement FinOps principles: baseline costs, identify inefficiencies, and reduce spend across data and AI workloads.
• Support the transition toward a more self-serve model through ADRs, RFCs, and well-defined ownership guidelines.
• Mentor Data Engineers on modern Data Platform concepts—streaming, governance, observability, platform reliability, and AI-aligned workflows.
• Partner with Platform Engineering, TechOps, Data Science, and AI Engineering to drive alignment and cohesive infrastructure strategy.
• Define playbooks and guidelines that standardize how teams build pipelines, collaborate with Platform, and deliver AI-ready data.
• Increase trust across the organization through clear documentation, architecture records, and consistent communication.

Data Platform Engineer

Cloud Platform Engineer, AWS

Director of Platform Engineering

Junior Platform Engineer

Senior Platform Engineer, Core Platform & Permissions