Lead Databricks data platform architecture at ShyftLabs from our downtown Toronto office three days weekly, using Spark and Python.
As a Senior / Lead Data Engineer, you will guide enterprise-scale platforms for Fortune 500 clients. Apply Databricks, Apache Spark, Python, SQL, Delta Lake, and cloud platforms to modernize data environments. Own delivery from discovery through production while mentoring engineers and shaping technical direction.
Key Responsibilities:
- Architect enterprise-scale platforms through production deployment
- Define roadmaps aligned with client business goals
- Develop Databricks pipelines and Spark applications
- Lead architecture reviews and mentor Data Engineers
- Implement governance, monitoring, and security practices
Requirements:
- Eight-plus years designing enterprise data platforms
- Five-plus years using Databricks and Apache Spark
- Strong Python, SQL, Delta Lake, and Lakehouse expertise
- Cloud experience with AWS, Azure, or Google Cloud Platform
- Enterprise leadership and stakeholder management experience
Bring Databricks, Spark, Python, and technical leadership to enterprise data modernization at ShyftLabs in Toronto.
Senior Databricks Data Platform Engineer in Toronto employer: ShyftLabs
ShyftLabs is an exceptional employer that fosters a collaborative and innovative work culture, allowing Senior ML-Ops Engineers to thrive in a fully remote environment across Canada. With a strong emphasis on employee growth, ShyftLabs offers opportunities to engage with high-profile enterprise clients while developing cutting-edge Machine Learning infrastructure. The company values work-life balance and provides hybrid options in Toronto, making it an attractive place for professionals seeking meaningful and rewarding careers.
