Lead Data Engineer

Lead a team of data engineers to deliver data products, design and implement data infrastructure and pipelines for data engineering, BI, ML, and AI capabilities.

Lead cloud-native data architecture initiatives, defining standards, governance, and scalable design patterns for enterprise data systems to support analytics, reporting, and AI/ML.

Lead a team of data engineers in developing Databricks solutions for financial services. Focus on ETL/ELT, real-time data processing, and cloud infrastructure management. Requires 8+ years of data engineering experience.

Leads a team of data engineers, focusing on Databricks and cloud platforms to build and optimize enterprise data solutions, including ETL/ELT pipelines and real-time processing.

Lead a team of data engineers, architecting scalable data pipelines using PySpark, AWS, and Databricks for global enterprises. Requires 10+ years of experience and strong technical skills.

Lead Data Engineer to design and architect data pipelines on cloud platforms (Snowflake, Databricks, AWS). Build orchestration workflows, mentor teams, and drive modernization. Experience with Python, Java, Airflow, PostgreSQL, MongoDB, Docker, Kubernetes, and CI/CD required.

Senior Data Engineer responsible for data governance and leading data engineering efforts for the User Platform and Recommendation Engine, ensuring data accuracy, performance, and security across various data systems.

Lead the optimization and management of Ontario Trillium Foundation's business intelligence systems, focusing on data engineering, distributed systems, and infrastructure within Microsoft Azure.

Manages and optimizes data infrastructure for BI systems in Azure, oversees data warehousing, ETL processes, and ensures data quality and security.