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 robust hands-on experience in Databricks.

Advanced SQL and data modeling expertise.

Deep experience with Spark performance tuning and large-scale data processing.

Solid understanding of cloud platforms (AWS, Azure, or GCP).

Proven ability to design and deliver production-grade data platforms.

📌 Lead Data Engineer Toronto (Canada)
🏢 Quantum World Technologies
📍 Canada