Staff Software Engineer - Data Platform

Pantheon is a WebOps Platform that powers the open web, managing over 300,000 sites for various customers. They are seeking a Staff Software Engineer for their Data Platform team to enhance their data infrastructure and deliver insights, while collaborating with cross-functional teams to ensure data-driven solutions are implemented effectively.

Responsibilities:

• Take the platform to the next level
• Enhance platform architecture
• Build with modern data infrastructure
• Mentor the team
• Own the full lifecycle
• Raise the bar
• Partner cross-functionally
• Support reliability

Requirements:

• 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
• ability to design, implement, and optimize scalable data models (dimensional, normalized) for both OLAP and OLTP systems, ensuring data integrity and query performance
• experience with data governance frameworks, data catalogs, and observability tooling that keep large-scale data assets discoverable, trusted, and compliant
• experience setting technical direction for a platform or team, translating ambiguous requirements into clear architecture, and mentoring other engineers
• 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
• 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
• experience embedding automated test coverage, data validation, and idempotent design into deployment pipelines
• security, trust, and dependability are foundational to how you build — declarative design, modularity, containers, and idempotency should genuinely excite you
• 8+ years building production data systems, with deep expertise in large-volume data pipelines, cloud databases, and real-time data events
• demonstrated experience as a technical lead — mentoring engineers and driving architecture decisions for a team or platform
• strong hands-on experience with Python (Python 3)
• hands-on experience with cloud data warehouses such as Snowflake, BigQuery, Firebolt, or Redshift
• experience with Google Cloud Platform (preferred) or a comparable cloud environment, plus containers, Kubernetes, and Terraform
• familiarity with configuration-driven pipeline design, Airflow, and CI/CD for data workflows
• experience building or supporting the data infrastructure behind Machine Learning and LLM applications — feature stores, embedding/vector pipelines, or model-ready data services
• hands-on experience using AI tools to accelerate how you work
• you take pride in what your team accomplishes, not just your individual output, and communicate with clarity and openness
• experience with Google Cloud Platform (preferred) or a comparable cloud environment