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Senior Data Engineer (Remote, Canada)
Data Science Full-time 4d ago
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AI Summary
Lead the design and implementation of scalable enterprise data platforms using Databricks and AWS. Combine software engineering expertise with advanced data architecture to build robust pipelines, enforce best practices, and drive platform governance. Collaborate with engineering teams to ensure scalable, secure, and maintainable data solutions in a fully remote environment.
Key Highlights
Senior-level role focused on Databricks platform architecture and enterprise data solutions
Requires deep expertise in Databricks, Delta Lake, Unity Catalog, and AWS (S3, IAM)
Fully remote position with competitive salary range (CA$80,000–CA$150,000 annually)
Key Responsibilities
Design and implement scalable enterprise data platforms using Databricks and AWS
Architect and oversee end-to-end data platform implementations with Delta Lake and Unity Catalog
Develop and maintain robust data pipelines using Python, PySpark, and SQL with CI/CD and version control
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Technical Skills Required
Benefits & Perks
Flexible working hours in a remote environment
Health insurance (medical and dental) for T4 Employees
Professional development fund
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Nice to Have
Experience designing lakehouse architectures at scale
Optimizing distributed data workloads
AWS Glue (ETL, jobs, crawlers, workflows) implementation
Job Description
Role Overview
We are seeking a Senior Data Engineer - Databricks with strong expertise in Databricks to help design and implement modern enterprise data platforms. This role blends strong software engineering practices with advanced data platform architecture, requiring hands-on experience building scalable pipelines and designing robust data systems in the cloud. The engineer will contribute to platform architecture, implement reliable data solutions, and ensure best practices across development, testing, deployment, and governance within the data platform ecosystem.
Responsibilities
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