Staff Software Engineer, Intelligence Platform Lead

Toast, Inc.

Dublin

Híbrido

EUR 140.000 - 190.000

Jornada completa

Hace 7 días
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Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Descripción de la vacante

Toast, Inc. in Dublin is seeking a Staff Software Engineer to lead the Intelligence Platform within the TREX team. You will own the architecture on Toast's data lake, drive data processing, privacy, publishing and serving, and collaborate with Data Platform, Marketing, Product, Legal and Data Science.

Role combines hands-on Kotlin/Java with Spark and Iceberg, mentoring engineers, shipping data products, and shaping a roadmap for real-time access for AI agents and business users.

Formación

  • 5+ years in software engineering, leading multi-team data projects.
  • Proficiency in Java or Kotlin and SQL/data modeling.
  • Experience with cloud-native data platforms on AWS and data privacy.

Responsabilidades

  • Own the technical vision and end-to-end architecture of the Intelligence Platform.
  • Hands-on coding with Kotlin/Java, Spark, and Iceberg on the data lake.
  • Ship early versions, iterate from feedback with Marketing and partners.
  • Embed privacy/compliance with Legal, Privacy and Data Science in code.
  • Create reusable building blocks to ensure data product quality and safety.
  • Design flows for scalable, safe data access for tools and AI agents.
  • Collaborate with Marketing, Product, Legal, IR and Data Science on roadmaps.
  • Set reliability/quality bar and mentor engineers through reviews.
  • Leverage AI tooling to boost day-to-day productivity.

Conocimientos

Data-intensive systems
Technical leadership
Java / Kotlin
SQL / data modeling
AWS cloud
Explain trade-offs

Herramientas

Apache Spark
Apache Iceberg
Snowflake
Databricks

Descripción del empleo

Toast, Inc. in Dublin is seeking a Staff Software Engineer to lead the Intelligence Platform within the TREX team. You will own the architecture on Toast's data lake, drive data processing, privacy, publishing and serving, and collaborate with Data Platform, Marketing, Product, Legal and Data Science.

Role combines hands-on Kotlin/Java with Spark and Iceberg, mentoring engineers, shipping data products, and shaping a roadmap for real-time access for AI agents and business users.

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