Data Engineering Team Lead to development, deployment, and support of data solutions and data modernization

Position: Data Engineering Team Lead to support the development, deployment, and support of data solutions and data modernization

Our Financial Services Client is looking for a Data Engineering Team Lead to provide technical leadership and direction for the organization’s data engineering capabilities.

Overview: The role sets engineering standards, designs scalable and secure data architectures, and leads to complex, cross-team data initiatives. While remaining hands-on, you will influence platform strategy, mentor engineers, and ensure alignment with enterprise architecture, governance, and business priorities.

This is Permanent role, % Remote, Vancouver, BC preferred, open to BC, Ontario candidates.

Must Have: • 8+ years of industry experience in Data Engineering with lead/mentoring/guiding junior resources and related field handling data processing and transformation of disparate datasets, data modelling • Experience with big data and analytics programming languages such as Python, R, Spark in Databricks • Experience with batch and real-time processing frameworks (Event Hub, Apache Spark, Apache Kafka, etc.) • Experience with Azure Data Lake, Azure Data Factory, Azure Databricks, Semarchy and Event Hub • Understanding of data storage, mapping, modeling, and real-time data handling • Strong ability to innovate and adapt to emerging technologies • Excellent problem-solving skills and ability to manage competing priorities • Exposure to Dev Sec Ops practices and security-first principles • Bachelor’s degree in computer science or related technical discipline

Nice to Have: • Master’s degree in Data Science, Analytics, or Business Administration (MBA)