Senior Data Engineer

Architect the agentic data platform — the AI systems that generate, validate, operate, and scale ingestion, transformation, and serving — so new datasets and metrics are onboarded by orchestration rather than bespoke engineering. Build the orchestration, guardrails, evaluations, and self-healing observability that let agents run data operations reliably, with engineers supervising outcomes rather than hand-tending pipelines. Ground AI-generated reports, narratives, and exports in deterministic, governed data so numbers are never invented. Lead architecture and design reviews, raise the engineering bar for applied AI, and partner across experimentation, growth, and app teams to turn ambiguous product needs into durable platform capability. Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. Experience designing and operating large-scale data platforms, distributed services, or analytics systems. Recent experience building AI agentic systems with latest models. Deep experience in engineering judgment in data modeling, KQL or SQL, data contracts, CI/CD, observability, reliability, and service operations. Deep architecture and design skills, ability to handle cross-org and cross-group priorities, with drive for results and outcomes. Ability to partner across engineering, program management, data/applied science, analytics, and app teams to convert ambiguous product needs into durable platform capabilities. Demonstrated ability to drive cross-team technical alignment and mentor engineers through architecture, implementation, and operational readiness.