Job Title: Team Lead, Data Engineering – Databricks Overview: Our client has provided specialist financial services to alternative investment funds, investors, multinationals, and private clients worldwide. Our data engineering initiatives represent one of our most critical technical focus areas, driving innovation across our global operations. lead a technical team?of 3-5 data engineers, ensuring best practices in performance, security, and scalability while working on an enterprise wide Centralized Data Platform (CDP) built on Databricks. This role requires a deep, hands‑on understanding of Databricks internals and a track record of?delivering large-scale data platforms in a cloud environment.

You will lead and mentor a team of data engineers, conducting code reviews, design reviews, and knowledge-sharing sessions across multiple locations Drive the Agile/Scrum SDLC process and collaborate with team members Design and develop Databricks solutions leveraging Lakehouse architecture for enterprise data processing and analytics Develop and optimize ETL/ELT pipelines Create and manage structured streaming pipelines for real‑time data processing Configure and optimize Databricks clusters and Spark jobs for optimal performance Utilize Delta Live Tables for data ingestion and transformations Apply Unity Catalog features and IAM best practices for security governance and access control Implement monitoring solutions for pipeline performance and data quality 8+ years of experience in data engineering ~3+ years of hands‑on experience with Databricks platform ~ Strong expertise in Python and Spark programming ~ Demonstrable experience in using AI in development ~ Proven experience with AWS or other similar cloud services ~ Deep understanding of data modeling and SQL ~ Experience with version control systems (Git) ~ Demonstrated ability to optimize data pipelines ~ Knowledge of AI/ML implementation patterns Experience with real‑time data processing Data governance framework experience Experience implementing complex data solutions Strong technical documentation abilities Experience using AI tools to enhance productivity Technical Environment Databricks Cloud Platform: AWS (S3, Glue, Lambda) Languages: Python, SQL Salary/Rate Range: CAD $135,000 – CAD $175,000 Hybrid – 3 days/week onsite downtown Toronto ~If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a valuable fit. For more information about TEEMA and to consider other career opportunities, please visit our website at #

📌 Lead & Senior Data Engineer (Toronto)
🏢 TEEMA
📍 Toronto