FluidstackAustin, TXLead the design, architecture, and implementation of a large-scale facilities telemetry platform for AI data centers, ingesting sensor data from industrial protocols into queryable time-series systems while setting data standards and leading a small team.
Lead the facilities telemetry platform: the pipeline taking every sensor, meter, and controller across the fleet into one queryable system. Own the architecture: ingestion, time-series storage, and APIs that operations, ML, and controls teams build on. Set the data standards: naming, units, and quality enforced at the edge so gigawatts of telemetry stay usable. Lead a small team while carrying the hardest technical pieces yourself.
Bonus
Build and manage data pipelines and canonical datasets for experimentation platform, tracking product metrics like user growth and revenue. Collaborate with cross-functional teams at OpenAI; requires 3+ years data engineering experience with Spark, ETL tools, and distributed systems.
Lead and grow the Trust & Safety Data Engineering team, defining roadmap and technical strategy. Build privacy-safe datasets and pipelines for abuse detection, fraud detection, and safety monitoring. Partner with stakeholders to ensure launch readiness and operational rigor.
Lead the design and build of data warehouse architecture, ETL/ELT pipelines, and business data models for a high-growth SaaS company. Partner with cross-functional teams to enable self-serve analytics using modern data stack tools like Snowflake, dbt, and Airflow.
Define and improve data architecture for GTM systems and enterprise CRM. Lead Salesforce data modeling, integrations, governance, and quality initiatives across the customer lifecycle.
Senior individual contributor leading data architecture for Snowflake's internal data platform. Defines standards in dbt modeling, RBAC, and AI tooling; partners with product teams and represents capabilities externally. Requires 8+ years experience with deep Snowflake and dbt expertise.