Senior Data Engineer
Core
Design, build, and maintain the data infrastructure (warehouse, lake, pipelines) powering FacilityOS's AI agents and analytics.
Role type
Senior Data Engineer (AI Infrastructure)
Builds
Data warehouse, data lake, ETL/ELT pipelines, schema designs, and secure authentication patterns for AI agents.
Domain
SaaS / Enterprise Technology / AI Infrastructure
Deliverable
production ML models
Required skills
Data warehouse/lake architecture, ETL/ELT pipeline development, schema design, data governance, data quality checks, lineage tracking, access controls, compliance frameworks (SOC2, ISO27001), Microsoft Graph API, OAuth, vector stores, embeddings, structured retrieval.
Preferred skills
Modern data stack tools (Fabric, dbt, Airflow, Snowflake, BigQuery), AI/RAG system data requirements, SaaS/enterprise environment experience.
Technologies
Fabric, dbt, Airflow, Snowflake, BigQuery, Microsoft Graph API, OAuth, vector stores.
Responsibilities
Own the design and maintenance of the data warehouse and data lake; Design and evolve schemas for AI agent orchestration; Build and monitor reliable data pipelines; Establish data governance standards and quality checks; Partner with AI Engineers to ensure data readiness for agents; Build secure authentication patterns for agents in business systems.
Seniority
Senior, hands-on IC
