Job Title: Team Lead, Data Engineering – Databricks
Job ID: 86747
Location: Toronto, Ontario
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.
As a Team Lead, you will?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.
What you will be doing:
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
Support infrastructure and resource management using Terraform
Implement monitoring solutions for pipeline performance and data quality
Contribute to code reviews and knowledge‑sharing sessions
What you must have:
8+ years of experience in data engineering
3+ years of hands‑on experience with Databricks platform




Proven experience leading a team
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 Delta Lake and Lakehouse architecture
Strong knowledge of ETL/ELT principles and patterns
Experience with version control systems (Git)
Demonstrated ability to optimize data pipelines
Strong problem‑solving and analytical skills
Excellent communication and collaboration abilities
Nice to have:
Financial services industry experience
Experience with multiple cloud providers
Knowledge of AI/ML implementation patterns
API development experience
Experience with real‑time data processing
Data governance framework experience
What Sets You Apart
Active interest in emerging technologies and industry trends
Experience implementing complex data solutions
Track record of continuous learning and skill development
Strong technical documentation abilities
Experience using AI tools to enhance productivity
Ability to mentor junior team members
Technical Environment
Primary Platform: Databricks
Cloud Platform: AWS (S3, Glue, Lambda)
Languages: Python, SQL
Tools: Delta Lake, Unity Catalog, Git
Additional: Real‑time processing, API integrations
Salary/Rate Range: CAD $135,000 – CAD $175,000
Other Information:
Hybrid – 3 days/week onsite downtown Toronto
40 hour work week
Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a positive fit.
For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.co

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📌 Lead Data Engineer – Databricks (Ontario)
🏢 TEEMA
📍 Ontario