Principal Data Products Engineer — Remote, High-Impact

OpenKrill; United States; A distancia; USD 180.000 - 280.000; Jornada completa

Descripción de la vacante

Fetch is hiring a Principal Engineer in Data to lead architectural direction for a major off-platform data business. You’ll own production-grade services, APIs, and data pipelines that measure and deliver audience insights for partners.

You will work with Engineering, Data Science, Product, and GTM teams to translate evolving requirements into scalable software, mentoring others and elevating engineering standards across the Data organization.

Formación

• 15+ years of software engineering experience with technical strategy & architecture across orgs.
• Ownership of a data-intensive product from prototype to production and sustained use.
• Track record building and operating production software with architectural decision leadership.
• Experience building advertising, audience, measurement, or data products.

Responsabilidades

• Define the architecture and implementation approach for a significant area of Fetch’s off-platform data business.
• Design, implement, and maintain services, APIs, and processing workflows behind data products; collaborate with data platform teams.
• Turn evolving needs into concrete engineering solutions via Product/Sales/partners feedback.
• Make informed architectural tradeoffs balancing speed, scale, reliability, and maintainability.
• Partner with data scientists to bring models into production with repeatable workflows and versioning.

Conocimientos

Software architecture

Data-intensive systems

Leadership

Backend development

System design

Production operations

Data pipelines

Descripción del empleo

Fetch is hiring a Principal Engineer in Data to lead architectural direction for a major off-platform data business. You’ll own production-grade services, APIs, and data pipelines that measure and deliver audience insights for partners.

You will work with Engineering, Data Science, Product, and GTM teams to translate evolving requirements into scalable software, mentoring others and elevating engineering standards across the Data organization.