As of November 7, 2026, Jobsy lists 20 data architect jobs in Toronto, ON. The most active employers are Miratech, Pathlion and Randstad Canada. Skills often requested: communication skills, sql, microsoft azure and data modelling.
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Altis asks for significant experience in enterprise data architecture, data modelling and cloud data solutions. Candidates need deep knowledge of Azure data services, Azure Machine Learning and AI/ML data requirements, plus a relevant degree or equivalent experience.
Azure, Azure Machine Learning, Microsoft Foundry, Azure AI Foundry
10+ YOECandidates need 10+ years designing data warehouse and lakehouse solutions and 5+ years with Databricks, Delta Lake and Snowflake or API ingestion. Deep Kimball dimensional modeling, expert T-SQL and Spark SQL, and strong communication skills are essential.
Databricks, Delta Lake, Snowflake, Azure Data Factory, Verint WFM, Genesys A3S
10+ YOECandidates need 10+ years in enterprise data warehousing and lakehouse work, with 5+ years of hands-on Databricks and Delta Lake experience. They need expert T-SQL and Spark SQL skills, Kimball dimensional modelling, Snowflake integration, and Python/PySpark with orchestration tools.
Databricks, Delta Lake, Snowflake, Genesys A3S, Verint WFM, SQL Server
10+ YOECandidates need 10+ years designing data warehouse and lakehouse solutions and 5+ years with Databricks, Delta Lake and Snowflake or API ingestion. Deep Kimball dimensional modeling, expert T-SQL and Spark SQL, and strong communication skills are essential.
Databricks, Delta Lake, Snowflake, Azure Data Factory, Verint WFM, Genesys A3S
Capco: Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services…
10+ YOECandidates need 10+ years in data architecture, engineering or governance, with hands-on Informatica IDMC and Collibra experience. Strong client communication, team guidance and enterprise data modelling skills are also required.
5+ YOECandidates need a degree in computer science, data engineering or IT, plus 5+ years as a data engineer. Strong SQL and Python skills and hands-on experience with Microsoft Fabric, Databricks, Snowflake and big data tools are required.
Microsoft Fabric, Databricks, Snowflake, Spark, Hadoop, Kafka
Financial Services Regulatory Authority of Ontario
7+ YOECandidates need a bachelor's degree in a related field, 7+ years of data architecture experience and strong data modeling skills. Experience with data warehousing, cloud platforms, big data tools, data governance and data integration is required, along with excellent communication skills for non-technical audiences.
Candidates need proven experience with Oracle Hyperion, Essbase, OBIEE and ODI, plus ETL and data integration design. They also need strong analytical, communication and project delivery skills, and knowledge of GO-ITS and SDLC methods.
Oracle Hyperion Planning, Oracle Essbase, Oracle Business Intelligence, Oracle Data Integrator, Web Services
7+ YOECandidates need 7+ years in data architecture or engineering, including 2+ years on the Microsoft Azure data ecosystem. Strong experience with Microsoft Fabric, Azure Data Factory, Synapse, Power BI, SQL and Python is required.
Microsoft Fabric, Azure Data Factory, Synapse, Power BI, Azure SQL, Databricks
10+ YOECandidates need 10+ years designing and supporting data environments, deep knowledge of data modeling methods such as dimensional modeling, Data Vault and star schema, and experience with secure, high-availability solutions on Google Cloud, including IAM and Cloud Storage.
Google Cloud Platform, BigQuery, Anthos, Vertex AI, Google Cloud Storage
Rules Cube: Rules Cube is a consulting firm specializing in digital transformation and strategic management.
10+ YOECandidates need 10+ years in data engineering or architecture, with deep data modeling skills and hands-on Google Cloud data experience. Rules Cube also requires expert SQL, strong Python, PostgreSQL expertise, healthcare privacy knowledge and Spanish.
10+ YOE4+ MgmtCandidates need 10+ years in data architecture or engineering, including 4+ years in a lead role on large cloud data platforms. Deep Databricks and MongoDB Atlas expertise, streaming pipeline experience, Python and advanced SQL, and strong communication skills are required.
Databricks, MongoDB Atlas, Delta Lake, Unity Catalog, Python, SQL
6+ YOECandidates need a bachelor's degree in computer science or engineering and six years of experience designing big data solutions for analytics and AI. They also need strong database, SQL, data governance and ETL skills, plus relevant cloud or data architecture certifications.
Data Elephant: Data Elephant was founded in 2022 to fulfill a need in the Canadian market for a dedicated and full-stack data and analytics services firm.
Candidates need significant enterprise data platform experience, including taking a Microsoft Fabric environment to production. They also need strong Azure data platform skills, hands-on SQL and Python or PySpark, data modelling expertise, and the ability to lead clients and explain trade-offs. Fabric certifications are valued but practical delivery experience is the priority.
Microsoft Fabric, OneLake, Power BI, Azure Data Factory, ADLS Gen2, Azure SQL
Company 1 - The Manufacturers Life Insurance Company
8+ YOECandidates need 8+ years architecting large data solutions, hands-on experience with modern platforms such as Microsoft Fabric, Azure Data Factory, Synapse, Databricks or Spark, and strong SQL plus Python, PySpark, Java or Scala. Experience with data governance, security and regulated industries is valued.
Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, PySpark
5+ YOECandidates need at least 5 years of experience designing scalable data models and data warehouses, plus a bachelor's degree in a technical field. Strong skills in data modelling tools, ELT and Python data libraries, and Agile tools are required, and CPG experience is an asset.
ERwin, ER/Studio, dbt, pandas, Great Expectations, Jira
8+ YOECandidates need 8 to 12+ years in data or enterprise architecture, with experience building taxonomies, common data models and cloud data platforms, preferably Databricks. A bachelor's degree in a related field is required, and a master's degree and certifications such as TOGAF or DAMA CDMP are preferred.
7+ YOECandidates need at least 7 years as a Data Architect, strong database build skills, and experience with cloud, data warehousing and master data management. Experience with data governance, BI tools and AI or machine learning integration is also expected.
Snowflake, Boomi, Ataccama, Tableau, Power BI, Oracle
Candidates need extensive enterprise data architecture experience in client-facing settings, hands-on skill with Azure Databricks, Microsoft Fabric, Power BI and SQL or Python/PySpark, and strong consulting and communication abilities.
Azure Databricks, Microsoft Fabric, Power BI, Azure, Python, PySpark
7+ YOECandidates need 7 to 10 years in data architecture or data engineering, expert SQL Server and PostgreSQL skills, and strong data modeling. Financial services or wealth management experience and governance program experience are highly desirable.
Microsoft SQL Server, PostgreSQL, Google BigQuery, Dagster, Airbyte, dbt