Senior Data & AI Platform Engineer, Dutch

• 6+ years operating production data platforms with hands-on ownership of dbt + cloud-warehouses (Snowflake strongly preferred)
• 6+ years strong production Python and software-engineering fundamentals (typing, testing, code review, and automated deployment)
• A default mindset geared toward systems architecture, API contracts, and failure modes
• The instinct to manage cloud spend, warehouse performance, and data quality without being asked
• People get better at their jobs working with you

Desirable

• Most data teams report on the business. Ours builds with it
• We're shipping LLM-generated clinical content, agentic assistants, and recommendation systems behind the tools pet parents actually use
• This role is a split between data platform architecture and AI infrastructure
• Half your time will go toward scaling our Snowflake environment, building semantic layers, and managing clinical data pipelines
• The other half will go toward building the backend runtime systems that safely execute our LLM features in production
• This is an individual contributor role with no direct reports, but you will be expected to set the technical standard for the team and mentor the engineers and analysts already here
• You will report directly to the VP of Data & AI
• Co-own our dbt + Snowflake platform (700+ models, Prefect, Fivetran)
• Isolate warehouse workloads and safeguard model dependencies to catch upstream data failures before they break production features
• Build the runtime guardrails for our clinical AI—strict payload validation, confidence thresholds, and fallback routing for LLM applications
• Develop shared observability pipelines, prompt evaluation harnesses, and cost-tracking tooling for our LLM stack
• Set the technical standard for the team, mentoring engineers on Python code quality, CI/CD workflows, and reliable system design