Staff Software Engineer – Data Platform

🕒 August 7

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $135.8k - $169.7k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Pantheon Platform

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Pantheon Platform is the WebOps platform for managing websites built on Drupal and WordPress. The company focuses on empowering developers, IT professionals, and marketers to develop, test, and release website changes quickly and reliably, thereby enhancing the management of single or multiple websites. With its cloud-native software, Pantheon aims to help organizations create value through efficient website operations.

📋 Description

• Extend Pantheon’s configuration-driven data platform to surface insights in the Product experience and power Machine Learning and LLM-driven insights • Serve as the lead technical member of the Data Platform team • Maintain and enhance Ingest as a Service, Curation as a Service, and Retention as a Service • Work hands-on with Snowflake, Snowpark for Python, Google Cloud Platform, Airflow, Docker, and Terraform • Guide engineers in designing and implementing high-impact projects • Own development, testing, operations, and support for systems built in a full DevOps model • Drive continuous improvement of engineering standards for coding, testing, deployment, and communication • Partner with Product, Sales, Ops, Finance, and other teams on data solutions and self-service, data-driven culture • Participate in the Data team’s on-call rotation to support infrastructure stability, reliability, and performance

🎯 Requirements

• Deep understanding of processing large-scale datasets across distributed systems, including trade-offs for high throughput and low latency • Ability to design, implement, and optimize scalable dimensional and normalized data models for OLAP and OLTP systems • Experience with data governance frameworks, data catalogs, and observability tooling • Experience setting technical direction for a platform or team, translating ambiguous requirements into architecture, and mentoring engineers • Ability to articulate technical designs, project status, and risk to technical and non-technical stakeholders • Experience embedding automated test coverage, data validation, and idempotent design into deployment pipelines • Knowledge of security, trust, dependability, declarative design, modularity, containers, and idempotency • 8+ years building production data systems, including large-volume data pipelines, cloud databases, and real-time data events • Demonstrated experience as a technical lead mentoring engineers and driving architecture decisions • Strong hands-on experience with Python 3 • Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, Firebolt, or Redshift • Experience with Google Cloud Platform or comparable cloud environment, containers, Kubernetes, and Terraform • Familiarity with configuration-driven pipeline design, Airflow, and CI/CD for data workflows • Experience building or supporting data infrastructure behind Machine Learning and LLM applications, including feature stores, embedding/vector pipelines, or model-ready data services • Hands-on experience using AI tools to accelerate work

🏖️ Benefits

• Industry competitive compensation and equity plan • Flexible time off, sick days, and 13 paid holidays • Comprehensive medical insurance including Health, Dental and Vision • Paid parental leave (plus fertility, adoption and other family planning benefits) • In-office workspace (San Francisco & Chicago) • Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development • Events and activities both team-based and company wide that inspire, educate and cultivate