Job Summary

We are seeking a highly skilled Senior Data Engineer to join our agile team in Toronto. This role offers an exciting prospect to lead the development and optimization of large-scale data solutions that drive strategic insights and business growth. As a key player in our data ecosystem, you will design, build, and maintain robust data pipelines, ensuring seamless integration across diverse platforms. Your expertise will empower data-driven decision-making and support innovative analytics initiatives, all within an agile environment that fosters collaboration and continuous improvement.

Responsibilities
Key Responsibilities
Design, develop, and optimize scalable data pipelines using Databricks (PySpark, Delta Lake, Unity Catalog, Lakeflow) and AWS (S3, Glue, Lambda, Step Functions, Redshift)
Lead data ingestion, transformation, and modeling initiatives for enterprise data platforms.
Define and implement robust data models supporting analytics, reporting, and AI/ML use cases.
Gather and translate complex business requirements into scalable technical solutions.
Establish data quality, monitoring, testing, and operational best practices across data platforms.
Mentor engineers, drive architecture standards, and lead end-to-end solution delivery.




Support strategic initiatives including AI readiness, data unification, metadata management, and enterprise integration programs.

Required Skills & Experience
12+ years of experience in Data Engineering, Data Architecture, or large-scale distributed data systems.
Expert knowledge of AWS Data Services and Databricks/Spark ecosystem.
Solid expertise in data modeling (Dimensional, Canonical, Data Vault, Domain-Driven).
Advanced SQL and Python development skills with ETL/ELT experience.
Experience with CI/CD, GitHub, DevOps practices, automated testing, and production deployments.
Proven ability to work independently and lead solutions in ambiguous business environments.

Preferred Qualifications
Experience in Asset Management, Wealth Management, or Financial Services.
Knowledge of data quality frameworks, metadata management, dbt, semantic layers, or data mesh concepts.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).

Pay: $50.00-$60.00 per hour

Experience:
databricks: 7 years (preferred)
python: 5 years (preferred)
AWS: 5 years (preferred)
GLUE: 5 years (preferred)

Work Location: Hybrid remote in Toronto, ON

📌 Hiring For Senior Data Engineer Toronto (Canada)
🏢 VARITE
📍 Canada