indeed
Senior Data Engineer
FacilityOS
North York, CAN
Full Time
Senior
Hybrid
Yesterday
Data EngineeringETL/ELT Pipeline DevelopmentData Warehouse ArchitectureData Lake ArchitectureSchema DesignData Governance
Free
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Data EngineeringETL/ELT Pipeline DevelopmentData Warehouse Architecture
About the Role
FacilityOS is looking for a Senior Data Engineer to own the data infrastructure powering AI agents and analytics. You will design and maintain data warehouses/lakes, build pipelines, and establish governance standards.
Key Skills for This Role
Data EngineeringETL/ELT Pipeline DevelopmentData Warehouse ArchitectureData Lake ArchitectureSchema DesignData Governance
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 AI readiness standards required for agent orchestration
- Partner with VP Infosec to ensure data handling meets ISO27001 and SOC2 Type 2 compliance requirements
- Build agents to meet compliance requirements from the ground up
- Partner with AI Engineer to ensure agents have reliable, structured, and current data
- Support department managers by making departmental data accessible and AI ready
- Connect agents into core business systems (Microsoft 365, Outlook/email, Teams) so agents can act within existing workflows
- Build and maintain secure authentication and permissioning patterns (e.g., Microsoft Graph API, OAuth)
- Provide technical input to AI Program Lead's portfolio planning, flagging data risk and readiness gaps early
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
- 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
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Full Job Posting
About FacilityOS
- FacilityOS is a fast growing company redefining how facilities operate—bringing safety, security, and daily operations into one unified platform.
- As we scale globally, we're building a team of driven, curious people who want to make an impact.
- Our team comes together in office twice a week to connect, collaborate, and build momentum.
About the Role
- The Data Engineer reports to the VP of Engineering and owns the data infrastructure that powers FacilityOS's AI agents and broader analytics needs.
- This role is foundational to the company's AI strategy: agents are only as good as the data they can reliably access.
- FacilityOS's data foundation exists today but requires expansion to support the next phase of AI driven growth.
Key Responsibilities – Data Infrastructure & Architecture
- 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.
Data Governance & Quality
- Establish and enforce data governance standards, including data quality checks, lineage tracking, and access controls.
- Ensure data structures meet 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.
Cross Functional Enablement
- 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 core business systems (Microsoft 365, Outlook/email, Teams) so agents can read, draft, notify, and act within existing workflows.
- Build and maintain secure authentication and permissioning patterns (e.g., Microsoft Graph API, OAuth) for agents acting inside business systems.
Program Support
- 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.
Qualifications
- 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.
- 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.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Why work at FacilityOS?
- 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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