Staff Software Engineer

Ritchie Bros.

Staff Software Engineer at RB Global driving data platform architecture and mentoring engineers. Collaborating closely with cross-functional teams to enhance data product capabilities.

Posted 7/20/2026full-timeBurnaby • 🇨🇦 CanadaLead💰 CA$106,092 - CA$159,138 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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 EngineeringPython ProgrammingCloud Data WarehousesWorkflow OrchestrationData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData ModelingCloud Data WarehousesApache AirflowApache KafkaInfrastructure as CodeCI/CD ToolsObservability StrategyData Pipelines

Soft Skills

MentoringCollaborationLeadership

Tools & Technologies

DatadogAWSTerraformCircleCIGitHub Actions

Industry Keywords

Data PlatformReal-Time StreamingEvent-Driven ArchitectureDimensional ModelingStar SchemaSnowflake SchemaData Vault

Tech Stack

Tools & technologies

AirflowApacheAWSBigQueryCloudKafkaPythonSQLTerraformVault

About the role

Key responsibilities & impact

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

What you’ll need

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.
Strong 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.

Benefits

Comp & perks

Health insurance
401k matching
15 days of PTO
Professional development opportunities