Data Tech Lead

Data Tech Lead
Location: GTA, Ontario or Montreal, Quebec
Work Arrangement: Remote with occasional travel to the client office for meetings
Contract: 1 Year
Job Overview
We are looking for an experienced Data Tech Lead to provide technical leadership across multiple Data PODs. The ideal candidate will have strong hands-on expertise in Azure Data Engineering, Snowflake, and Databricks, along with experience leading large engineering teams and delivering scalable data solutions.
Key Responsibilities
Provide technical leadership across multiple Data PODs and ensure engineering best practices.
Design, develop, monitor, and optimize Azure Data Factory, Azure Event Hubs, Logic Apps, and Databricks solutions.
Architect and implement Snowflake components including storage integrations, stages, external volumes, Iceberg tables, clustering, search optimization, and dynamic tables.
Troubleshoot complex production incidents, system failures, and performance issues across Azure and Snowflake.
Lead architecture and code reviews, environment governance, and deployment standards.
Collaborate with clients, vendors, partners, and internal teams to translate requirements into scalable technical solutions.
Lead and mentor a 25+ member engineering team.
Ensure compliance with security, architecture, and governance standards.
Manage delivery timelines, risks, releases, environment promotions, and operational readiness.
Communicate technical progress and risks to senior stakeholders.
Required Skills
Strong hands-on experience with Azure Data Factory (ADF), Azure Event Hubs, Azure Logic Apps, and Azure Databricks.
Strong Snowflake experience, including Iceberg tables, external volumes, storage integrations, stages, clustering, search optimization, and dynamic tables.
Strong SQL, Python, and PySpark skills.
Experience with data ingestion, orchestration, and streaming architectures.
Strong production troubleshooting and incident-resolution experience.
Proven experience leading 25+ engineers.
Excellent communication and stakeholder-management skills.
Preferred Skills
Azure DevOps / CI/CD and version control.
Data modeling experience, including Dimensional Modeling and Data Vault.
Data governance, data quality, and cloud security.
Enterprise architecture and cloud governance experience.
Experience with Azure Blob Storage and Snowflake Snowsight.
Location Requirement
Candidates should be local to the GTA or Montreal and comfortable traveling to the client office when required.
Interested candidates: Please share your updated resume and availability.

Work arrangement
Yes