Staff Data Engineer, Product Risk & Data Platforms

EngineersOfAI

Toronto

On-site

CAD 150,000 - 190,000

Full time

13 days ago

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Job summary

Stripe is seeking a Staff-level data engineering leader to drive high-impact data pipelines and ML-enabled data initiatives. You will mentor engineers, shape data architectures, and partner with product teams to deliver scalable, trustworthy data foundations.

In this role, you will collaborate across Stripe's platforms to ensure reliable, explainable data flows and architectures that support payments, risk, and product analytics at scale. Toronto-based options may apply.

Qualifications

  • Staff-level role with 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions.
  • Strong engineering background and passion for data, with experience writing and debugging data pipelines using a distributed data framework.
  • Inquisitive by nature, able to identify data inconsistencies and resolve deep rooted data quality issues.
  • Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience.
  • Extreme customer focus, with ability to partner with product, leaders across the business, and other engineers.

Responsibilities

  • Lead the technical outcomes for a team of engineers, providing mentorship and support.
  • Partner with recruiting to attract and hire top talent.
  • Deliver cutting-edge data pipelines that scale to users' needs with reliability and efficiency.
  • Develop subject matter expertise and manage SLAs of data pipelines and full-stack applications.
  • Collaborate with product managers to create canonical datasets and ensure trustworthy data.
  • Leverage AI/LLM and agents at scale to produce high-quality data.
  • Drive execution of key data initiatives from planning to delivery with high quality.
  • Foster a collaborative and inclusive team environment.

Skills

Airflow
Spark
Kafka
Flink
Scala/Java/Go
SQL
Data pipelines

Job description

Stripe is seeking a Staff-level data engineering leader to drive high-impact data pipelines and ML-enabled data initiatives. You will mentor engineers, shape data architectures, and partner with product teams to deliver scalable, trustworthy data foundations.

In this role, you will collaborate across Stripe's platforms to ensure reliable, explainable data flows and architectures that support payments, risk, and product analytics at scale. Toronto-based options may apply.

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