Team Lead - Databricks Engineer
Team Lead - Data Engineer - Databricks
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.
Key Responsibilities:
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
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
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
Our Benefits:
Your well-being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location.
We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.
Citco welcomes and encourages applications from people with disabilities. Accommodation is available upon request for candidates taking part in all aspects of the selection.
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