Staff Software Engineer – Data Platform – Canada

Webhosting; Canada; On-site; CAD 140,000 - 200,000; Full time

Job summary

Pantheon is seeking a Staff Software Engineer for its Data Platform in Canada to lead data infrastructure that powers analytics and product experiences. You will help surface insights, enable ML/LLM-driven capabilities, and architect scalable services with Python, Airflow, Kubernetes, and Terraform.

The role emphasizes collaboration across product, data, and engineering teams, with a focus on trust, teamwork, and customer-first outcomes.

Qualifications

• Experience designing and operating large-scale data platforms.
• Ability to model and optimize OLAP/OLTP data architectures.
• Knowledge of data governance, catalogs, and observability tooling.
• Demonstrated technical leadership translating requirements into scalable architectures.
• Understanding of business value of data solutions for internal/external customers.

Responsibilities

• Extend the data platform to surface insights in the Product experience.
• Lead maintenance and evolution of core platform services: Ingest, Curation, Retention as a Service.
• Work hands-on with Snowflake, GCP, Airflow, Docker, and Terraform.
• Mentor engineers and raise technical bar across the team.
• Own full lifecycle of the systems in a DevOps model; support and operate them.

Skills

Distributed data systems

Data modeling & architecture

Data governance & observability

Technical leadership

Customer-focused data solutions

Communication

Quality mindset

Design principles

Tools

Snowflake

Snowpark for Python

Airflow

Kubernetes

Terraform

Job description

Staff Software Engineer – Data Platform – Canada

Job Description

About Pantheon

Pantheon WebOps Platform powers the open web, running more than 300,000 sites in the cloud for customers including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal sites to reach billions of people globally. Pantheon’s multitenant, container-based platform enables organizations to manage all of their websites from a single dashboard. Organizations including Clorox and the United Nations drive results through accelerated development and real-time publishing using Pantheon’s collaborative workflows.

The Role

The Data Platform team powers Pantheon’s data infrastructure and delivers analytics across the company. We’ve built a robust, configuration-driven data platform that handles extraction, ingestion, curation, compliance, security, and enterprise-wide access to data – and we’re looking for a Staff Software Engineer to take it to the next level.

In this role, you’ll extend the platform beyond its current foundation to surface data insights directly within our Product experience, and to power the infrastructure behind Machine Learning and LLM-driven insights. As the lead technical member of the Data Platform team, you’ll architect the next generation of services that let every team at Pantheon trust and act on data, working closely with Software Engineers, Data Engineers, Analytic Engineers and Product. The platform runs on Python, Airflow, Kubernetes, configuration YAML, Great Expectations, and Terraform.

Pantheon’s core values are Trust, Teamwork, Passion, and Customers First. Within engineering, we value collaboration, character, autonomy, and a no-blame culture – and we’re active participants in several open-source communities.

What You Will Do

• Take the platform to the next level.Extend our robust, configuration-driven data platform to surface data insights directly within the Product experience, and to power the infrastructure behind Machine Learning and LLM-driven insights.
• Enhance platform architecture.Serve as the lead technical member of the Data Platform team, maintaining and enhancing our core platform services: Ingest as a Service (consistent extraction and loading into the data lake), Curation as a Service (configuration-driven, audited transformations) and Retention as a Service (historical data hosting that balances access, compliance, and cost).
• Build with modern data infrastructure.Work hands-on with Snowflake (including Snowpark for Python), Google Cloud Platform, Airflow , Docker, and Terraform.
• Mentor the team.Guide a team of engineers in designing and implementing high impact projects, raising the technical bar across the group.
• Own the full lifecycle.Operate in a full DevOps model – development, testing, operations, and support for the systems you build.
• Raise the bar.Drive continuous improvement of engineering standards for coding, testing, deployment, and communication.
• Partner cross-functionally.Work with Product, Sales, Ops, Finance and other teams to deliver high-impact data solutions and support a self-service, data-driven culture across Pantheon.
• Support reliability.Participate in the Data team’s on-call rotation, contributing to the stability, reliability, and performance of Pantheon’s data infrastructure.

What You Will Need to Succeed

• Distributed data systems:deep understanding of processing large-scale datasets across distributed systems, with a clear grasp of the trade-offs in designing for high throughput and low latency.
• Data modeling and architecture:ability to design, implement, and optimize scalable data models (dimensional, normalized) for both OLAP and OLTP systems, ensuring data integrity and query performance.
• Data governance & observability:experience with data governance frameworks, data catalogs, and observability tooling that keep large-scale data assets discoverable, trusted, and compliant.
• Technical leadership:experience setting technical direction for a platform or team, translating ambiguous requirements into clear architecture, and mentoring other engineers.
• Customer/product focus:an understanding of the direct and indirect business value of your work, ensuring data solutions align with company-wide goals and deliver impact for internal and external customers.
• Communication:the ability to clearly articulate technical designs, project status, and risk to both technical peers and non-technical stakeholders, while remaining open to others’ ideas.
• Quality mindset:experience embedding automated test coverage, data validation, and idempotent design into deployment pipelines.
• Design principles:security, trust, and dependability are foundational to how you build – declarative design, modularity, containers, and idempotency should genuinely excite you.