Data services firm specializing in cloud migrations and modern data platform builds
Data Elephant is a Canadian data services firm founded in 2022, focused on Databricks, Azure, and AWS modernization work. The stack reveals a Databricks-centric practice (PySpark, Delta Lake, Unity Catalog, MLflow) paired with heavy Azure adoption (Data Lake Storage, Data Factory, Synapse), signaling deep expertise in enterprise data migrations. Hiring is exclusively senior-level across data and delivery leadership roles—a pattern consistent with services firms that sell outcome-based engagements rather than scaling headcount linearly.
Notable leadership hires: Account Delivery Lead, Agile Delivery Lead
Data Elephant provides data engineering, analytics, and cloud services to mid-market and enterprise clients across Canada. The firm was founded to address a gap in the Canadian market for full-stack data consulting, combining the agility and technical depth of a boutique firm with the strategic methodology of larger consultancies. Their project portfolio centers on legacy-to-cloud migrations (particularly to Databricks and Azure), modern data platform implementations, governance frameworks (Unity Catalog), and data strategy engagements. Operating at 11–50 employees with all hiring concentrated in Canada, the firm operates as a delivery-driven practice rather than a product company.
Core stack: Databricks, PySpark, Delta Lake, Azure (Data Lake Storage, Synapse, Data Factory), MLflow, Unity Catalog, AWS, GCP. Currently adopting Databricks, Azure, and Unity Catalog for governance and data engineering workflows.
Headquartered in Vancouver, BC, Canada. Founded in 2022 as a privately held firm with 11–50 employees.
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