Lead Data Engineer
Lead the design of scalable Lakehouse architectures and develop high-performance batch and streaming data pipelines. Own end-to-end data workflows from ingestion to serving while mentoring junior engineers and conducting code reviews.
- On-site
- Toronto, ON
- Posted Jul 24, 2026
- Apply by Aug 23, 2026
- 1 position
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Job summary
Senior Data Engineer (Databricks-Focused) Role Summary (In-Person Interview in Mandatory - Please dont share Virtual Interview Profiles) We are seeking a Senior Data Engineer with deep expertise in building scalable Lakehouse solutions using Databricks. This role will lead the design of data architecture, develop high-performance pipelines, and own end-to-end data workflows while mentoring junior engineers. Key Responsibilities Design and implement Lakehouse architectures using Delta Lake. Build and optimize batch and streaming pipelines using Apache Spark (PySpark/Scala). Own end-to-end data flows: ingestion → transformation → modeling → serving. Implement data quality, monitoring, and CI/CD best practices. Optimize cluster performance and cost efficiency within Databricks. Provide technical leadership, conduct code reviews, and mentor junior engineers. Required Experience 8+ years in data engineering, with strong hands-on experience in Databricks. Advanced SQL and data modeling expertise. Deep experience with Spark performance tuning and large-scale data processing. Strong understanding of cloud platforms (AWS, Azure, or GCP). Proven ability to design and deliver production-grade data platforms.
What you’ll do
Lead the design of scalable Lakehouse architectures and develop high-performance batch and streaming data pipelines. Own end-to-end data workflows from ingestion to serving while mentoring junior engineers and conducting code reviews.
Requirements
Requires over 8 years of data engineering experience with deep expertise in Databricks, Spark performance tuning, and advanced SQL. Candidates must have a proven track record of delivering production-grade data platforms on major cloud providers.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Databricks
- Lakehouse Architecture
- Delta Lake
- Apache Spark
- PySpark
- Scala
- SQL
- Data Modeling
- CI/CD
- Cloud Platforms
- AWS
- Azure
- GCP
- Performance Tuning
- Data Pipeline Development
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Additional details
- Minimum experience
- 5+ years
- Apply by
- Aug 23, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available