Senior Data Engineer
FacilityOS4 months ago
Toronto, CanadaSenior
Responsibilities
- Design, build, expand, and maintain the data warehouse and data lake.
- Design and evolve schemas supporting AI-agent orchestration and business analytics.
- Build and maintain reliable, monitored ETL/ELT pipelines across source systems.
- Establish data governance standards covering quality checks, lineage tracking, and access controls.
- Ensure data structures meet AI-readiness requirements and support structured retrieval, embeddings, and vector stores.
- Partner with information security leadership on ISO27001 and SOC2 Type 2 compliance requirements.
- Own the data platform’s health and cost as usage grows.
- Partner with the AI Engineer and department managers to make data accessible, reliable, current, and AI-ready.
- Connect agents with Microsoft 365, Outlook/email, and Teams workflows.
- Build and maintain secure authentication and permissioning patterns using approaches such as Microsoft Graph API and OAuth.
- Provide data-related technical support to the AI Tech/Integration SWAT and input to AI portfolio planning.
- Assess data readiness for proposed automation and contribute to organization-wide data foundation documentation and standards.
Requirements
- 5+ years of experience in data engineering, including schema design, ETL/ELT pipeline development, and data warehouse or data lake architecture.
- Hands-on experience with Fabric or comparable modern data-stack tools such as dbt, Airflow, Snowflake, or BigQuery.
- Working knowledge of enterprise data governance, quality, and security practices.
- Familiarity with data requirements for AI/RAG systems, including structured retrieval, embeddings, and vector stores, is a strong asset.
- Familiarity with SOC2 or ISO27001 compliance frameworks is a plus.
- Experience in a SaaS or enterprise technology environment is preferred.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Benefits
- Comprehensive health coverage.
- Hybrid work environment with the team coming together in-office twice a week.
- Opportunities for advancement and career growth.
- Catered events, snacks, and drinks.
- Birthday and life celebrations.
- Two annual company parties.
- Employment is contingent on legal eligibility to work in the location of application; background, credit, employment, education, and reference checks may apply.
Tech Stack
Apache AirflowdbtGoogle BigQuerySnowflake
Categories
Data Engineering
About FacilityOS
FacilityOS builds a modular B2B SaaS platform for facility, asset, contractor, logistics, and visitor management used by security, facilities, and compliance teams. Its interoperable modules—VisitorOS, EmergencyOS, ContractorOS, LogisticsOS, and SecurityOS—automate processes, enforce safety protocols, and help meet regulatory requirements across multi-site operations. The company is privately held and rebranded from SCLogic, serving organizations worldwide in facilities services and logistics.