- Drive the architecture, design, and evolution of our enterprise data platform.
- Set technical direction, mentor engineers, and champion engineering excellence across the team.
- Collaborate with data architects, engineering managers, and product teams.
- Define and deliver the next generation of data products and platform capabilities at scale.
- Design and build scalable data pipelines that power analytics and machine learning.
- Own the design and evolution of workflow orchestration using Apache Airflow.
- Lead the strategy for real-time streaming ingestion using Kafka.
- Champion and advance data modeling standards across the platform.
- Define and implement observability strategy using Datadog.

Requirements - Bachelor's degree in Computer Science, Information Technology, or a related field.

- 10+ years of experience in data engineering or software engineering, with at least 3+ years operating at a senior/staff level.
- Solid proficiency in Python (required) and SQL.
- Expert-level knowledge of cloud data warehouses (e.g., Snowflake, BigQuery).
- Proven track record of designing and scaling data platforms in production environments.
- Strong expertise in data modeling — dimensional modeling, star/snowflake schemas, data vault.
- Extensive experience with workflow orchestration tools (Apache Airflow preferred).




- Strong understanding of streaming technologies (Apache Kafka, Snowpipe) and event-driven architectures.
- Experience with AWS services (S3, MWAA, Glue).Proficiency with Infrastructure as Code (Terraform) and CI/CD tools (CircleCI, Harness, GitHub Actions).
- Experience with Datadog or similar monitoring and observability platforms.

Core Competencies

Demonstrates expertise in designing and evolving enterprise data platforms, with a strong focus on data modeling, workflow orchestration, and real-time streaming ingestion. Proficient in Python, SQL, and cloud data warehouses, while also championing engineering excellence and observability strategies. Highest-signal resume keywords - Data Engineering - Python Programming - Cloud Data Warehouses - Workflow Orchestration - Data Modeling ATS Optimization Keywords Hard Skills - Python - SQL - Data Modeling - Cloud Data Warehouses - Apache Airflow - Apache Kafka - Infrastructure as Code - CI/CD Tools - Observability Strategy - Data Pipelines Soft Skills - Mentoring - Collaboration - Leadership Industry Keywords - Data Platform - Real-Time Streaming - Event-Driven Architecture - Dimensional Modeling - Star Schema - Snowflake Schema - Data Vault Tools & Technologies - Datadog - AWS - Terraform - CircleCI - GitHub Actions

📌 Staff Software Engineer (Burnaby)
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📍 Burnaby