Staff Software Engineer - Data Platform

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Staff Software Engineer - Data Platform in USA

Pantheon Systems, Inc
Full time
Email

USA
10/08/2026
Report

Remote

Responsibilities

Extend the configuration-driven data platform to surface product insights and power machine learning and LLM-driven insights.
Architect and enhance Ingest as a Service, Curation as a Service, and Retention as a Service platform capabilities.
Build and operate data infrastructure using Snowflake, Snowpark for Python, Google Cloud Platform, Airflow, Docker, and Terraform.
Serve as the lead technical member of the Data Platform team and guide architecture and implementation of high-impact projects.
Mentor engineers and raise technical standards for coding, testing, deployment, and communication.
Own the full development, testing, operations, and support lifecycle for the systems built.
Partner with Product, Sales, Operations, Finance, and other teams to deliver data solutions.
Participate in the Data team’s on-call rotation and support infrastructure stability, reliability, and performance.

Requirements

8+ years of experience building production data systems, including large-volume pipelines, cloud databases, and real-time data events.
Deep understanding of distributed data processing, high-throughput and low-latency system design, and scalable data modeling for OLAP and OLTP systems.
Experience with data governance frameworks, data catalogs, observability tooling, data validation, automated test coverage, and idempotent deployment design.
Demonstrated technical leadership in setting direction for a platform or team, making architecture decisions, and mentoring engineers.
Strong hands-on proficiency with Python, including Python 3.
Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, Firebolt, or Redshift.
Experience with Google Cloud Platform or a comparable cloud environment, containers, Kubernetes, and Terraform.
Familiarity with configuration-driven pipeline design, Airflow, and CI/CD for data workflows.
Experience building or supporting infrastructure for machine learning and LLM applications, such as feature stores, embedding/vector pipelines, or model-ready data services.
Hands-on experience using AI tools to accelerate work and the ability to communicate technical designs and risks to technical and non-technical stakeholders.

Benefits

Industry-competitive compensation and an equity plan.
Flexible time off, sick days, and 13 paid holidays.
Comprehensive medical, dental, and vision insurance.
Paid parental leave plus fertility, adoption, and other family-planning benefits.
In-office workspace available in San Francisco and Chicago.
Monthly allowance for wellness and reading, plus access to LinkedIn Learning.
Team and company-wide events and activities.
Visa sponsorship is not available at this time.

Salary: $167k - $232k/yr

Pantheon Systems, Inc

Pantheon is the only WebOps platform built to unify web infrastructure, workflows, and governance for Drupal, WordPress and Next.js. By eliminating outdated tech and tedious sysadmin tasks, Pantheon frees your team to focus on delivering exceptional results and creating extraordinary digital expe...

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