Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms
Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns
Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices
Lead and mentor engineering teams, coordinating deliveries and driving technical standards
Establish and evolve CI/CD pipelines and Infrastructure as Code (IaC) practices for data platforms
Partner with clients and stakeholders to translate business requirements into scalable data solutions
Champion data governance, quality, and security using tools such as Unity Catalog
Contribute to platform modernization initiatives, including Data Warehouse to Lakehouse migrations
Apply Agile methodologies to plan, iterate, and deliver data engineering projects effectively

4+ years of hands-on experience with Databricks, including Unity Catalog, Data Ingestion, ETL/ELT pipelines, and Medallion Architecture
Strong programming experience in Python and SQL
5+ years of experience with public cloud platforms (Azure, AWS, or GCP)
5+ years of experience as a technical lead or architect, leading engineering teams and coordinating deliveries
10+ years of overall experience in software development or IT
Experience with CI/CD pipelines and Infrastructure as Code (IaC)
Strong understanding of Agile methodologies and engineering practices

Flexible remote work environment with optional hybrid collaboration for candidates located in Victoria, BC
Continuous learning and leadership development opportunities
Flexible schedules and generous paid time off
Competitive health, dental, and wellness benefits from Day 1
Employer-sponsored deferred profit-sharing plan
A collaborative, mission-driven culture where your work matters

Senior Data Architect

Key skills