Pantheon · Remoto · Canada
Join Pantheon, a leading webops platform, as a Staff Software Engineer on the Data Platform team. In this role, you will extend our robust data platform, enhance platform architecture, mentor the team, own the full lifecycle of development, and partner cross-functionally. You will work with modern data infrastructure, including Snowflake, Google Cloud Platform, Airflow, Docker, and Terraform. This position offers a flexible remote and in-office work environment, health and wellness benefits, flexible time-off, and opportunities for professional development.
- Quality mindset: experience embedding automated test coverage, data validation, and idempotent design into deployment pipelines
- 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
- Technical leadership: experience setting technical direction for a platform or team, translating ambiguous requirements into clear architecture, and mentoring other engineers
- 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
- 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
- Data governance & observability: experience with data governance frameworks, data catalogs, and observability tooling that keep large-scale data assets discoverable, trusted, and compliant
- 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
- Design principles: security, trust, and dependability are foundational to how you build — declarative design, modularity, containers, and idempotency should genuinely excite you
- Experience: 8+ years building production data systems, with deep expertise in large-volume data pipelines, cloud databases, and real-time data events
- Coding proficiency: strong hands-on experience with Python (Python 3)
- ML/LLM infrastructure: experience building or supporting the data infrastructure behind Machine Learning and LLM applications — feature stores, embedding/vector pipelines, or model-ready data services
- AI-forward: hands-on experience using AI tools to accelerate how you work
- Modern data stack: familiarity with configuration-driven pipeline design, Airflow, and CI/CD for data workflows
- Database knowledge: hands-on experience with cloud data warehouses such as Snowflake, BigQuery, Firebolt, or Redshift
- Track record: demonstrated experience as a technical lead — mentoring engineers and driving architecture decisions for a team or platform
- Cloud & infrastructure: experience with Google Cloud Platform (preferred) or a comparable cloud environment, plus containers, Kubernetes, and Terraform
- Team mindset: you take pride in what your team accomplishes, not just your individual output, and communicate with clarity and openness