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S.i. Systems
Data Engineering Team Lead to support the development, deployment, and support of data solutionsS.i. Systems • Victoria, CA
Data Engineering Team Lead to support the development, deployment, and support of data solutions

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

S.i. Systems • Victoria, CA
30+ days ago
Salary
CA$113,000.00 yearly
Job type
  • Permanent
Job description

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 (EventHub, Apache Spark, Apache Kafka, etc.)
  • Delta Lake Optimization: Using Liquid Clustering and Z-Ordering to maximize read throughput for heavy AI model training.
  • Structured Streaming: Building real-time pipelines with Delta Live Tables and Event Hubs to feed live data to inference engines.
  • Image & Multi-Modal Processing: Ingesting raw images from ADLS Gen2, extracting visual features via distributed Spark jobs, and securely managing them using Unity Catalog Volumes.

Nice to Have:

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


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Data Engineering Team Lead to support the development, deployment, and support of data solutions and data modernization platform. • Victoria, CA

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