Data engineering and AI platform builder for large enterprises
ShyftLabs builds data and AI systems for enterprises on a dual-cloud stack: Databricks, Delta Lake and Unity Catalog on AWS alongside BigQuery, Dataflow and Cloud Composer on GCP. Hiring is accelerating and skews heavily toward senior data and engineering talent in India and Canada. MLOps adoption plus job-post focus on billions of events and AI-enabled workflows point to a shift from pipeline delivery toward production ML.
Notable leadership hires: Technical Lead
ShyftLabs is a Toronto-headquartered, privately held firm founded in 2018 that designs data platforms and AI solutions for enterprises and institutions. Its work spans data engineering, centralization, governance, automation, and customer and retail analytics. The company has 201–500 employees, with teams in Toronto, New York, Dubai and New Delhi. Delivery covers both data infrastructure and full-stack application development using React, Next.js, Node.js, GraphQL, Java and Go.
ShyftLabs works with Databricks, Apache Spark, Delta Lake, Unity Catalog, Kafka, Airflow and dbt across AWS and GCP, plus BigQuery, Looker, Python, TypeScript, React, Next.js, Java and Go.
Yes. Hiring is accelerating and centers on data and engineering roles, mostly at senior level, with openings in India and Canada.
ShyftLabs is headquartered in Toronto, Ontario, Canada, and also has teams in New York, Dubai and New Delhi.
Other companies in the same industry, closest in size
ShyftLabs's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.