Team Lead, Data Engineering
CA$135,000 / yr base salary
Posted 12 Mar 2026
Advertised as “Team Lead, Data Engineering - Databricks”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- People management
- Employment
- Hybrid
| Base salary | CA$135,000 / yr |
|---|
About Citco:
Since the 1940s, Citco 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.
About the Role:
As a Team Lead, you will lead a technical team of data engineers, ensuring best practices in performance, security, and scalability while working on Citco's enterprisewide 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'll be part of a team driving technical excellence and innovation within Citco's data engineering practice.
Responsibilities
Your Role:
- 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
Qualifications
Required Qualifications:
- 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