Senior Data Engineer
FacilityOS•North York, ON
•CA$120,000 - CA$150,000•Hybrid
About The Position
FacilityOS is seeking a Senior Data Engineer to own the data infrastructure that powers the company's AI agents and broader analytics needs. This role is critical to the company's AI strategy, ensuring agents have reliable access to data. The Data Engineer will be responsible for expanding the data foundation, schema design, pipeline quality, and data governance, working closely with the AI Engineer. The current data foundation needs to be expanded to support the next phase of AI-driven growth.
Requirements
- 5+ years of experience in data engineering, including schema design, ETL/ELT pipeline development, and data warehouse/lake architecture
- Hands-on experience with Fabric or alternative modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, or equivalent)
- Working knowledge of data governance, quality, and security practices in an enterprise environment
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Nice To Haves
- Familiarity with the data requirements of AI/RAG systems (structured retrieval, embeddings, vector stores) is a strong asset
- Familiarity with compliance frameworks such as SOC2 or ISO27001 is a plus
- Experience in a SaaS or enterprise technology environment preferred
Responsibilities
- Own the design, build-out, and ongoing maintenance of FacilityOS's data warehouse and data lake
- Design and evolve schemas that support both AI agent orchestration and broader business analytics
- Build and maintain reliable, well-monitored data pipelines across source systems
- Establish and enforce data governance standards, including data quality checks, lineage tracking, and access controls
- Ensure data structures meet the AI-readiness standards required for agent orchestration
- Partner with VP Infosec to ensure data handling meets ISO27001 and SOC2 Type 2 compliance requirements
- Own the health and cost of the platform as usage grows
- Build agents to meet FacilityOS's ISO27001 and SOC2 Type 2 compliance requirements from the ground up
- Partner with the AI Engineer to ensure agents have reliable, structured, and current data to work against
- Support department managers by making departmental data accessible and AI-ready for their agent initiatives
- Act as a technical resource within the AI Tech/Integration SWAT for data-related blockers
- Connect agents into the core business systems departments already work in - Microsoft 365, Outlook/email, and Teams, so agents can read, draft, notify, and act within existing workflows rather than requiring new interfaces
- Build and maintain secure authentication and permissioning patterns (e.g., Microsoft Graph API, OAuth) for agents acting inside business systems on a user or department's behalf
- Provide technical input to the AI Program Lead's portfolio planning, flagging data risk and readiness gaps early
- Support "AI before headcount" evaluations by assessing whether existing data infrastructure can support proposed automation
- Contribute to org-wide data foundation documentation and standards
Benefits
- Comprehensive health coverage
- A Hybrid work environment
- Opportunity for advancement and growth
- Catered Events, Snacks, Drinks
- Birthday and Life Celebrations
- Two annual parties in a year
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What This Job Offers
Job Type
Full-time
Career Level
Senior
