Stripe

Stripe

Stripe is a global technology company that provides financial infrastructure for the internet. They offer a suite of APIs and tools for businesses to accept online and in-person payments, automate financial processes, and embed financial services in th...

Diversified Financial Services
5K-10K
Founded 2009
$8700M raised

Description

  • Lead the design, development, and maintenance of data pipelines, data models, and applications that support Growth, Sales, and Marketing and meet critical business objectives.
  • Develop deep subject matter expertise in owned systems and set and manage SLAs for both data pipelines and datasets.
  • Build and enhance data foundations—including infrastructure, pipelines, and tools—that facilitate collaboration between Growth, Sales, and Marketing teams (e.g., Spark, Scala, Airflow).
  • Design and implement data movement frameworks and systems to integrate internal systems and third-party data sources, ensuring efficient data flow, accessibility, integrity, and security.
  • Mentor and guide junior engineers, promoting best practices in software development, data quality, and project delivery.
  • Collaborate with cross-functional teams to ensure accurate and complete data and to translate technical work into business-facing outcomes.
  • Analyze and troubleshoot complex data issues, communicate findings and recommendations to stakeholders, and improve visibility into GTM organization performance while maintaining data integrity.

Requirements

  • 10+ years of hands-on software development experience focused on building and maintaining data-intensive applications.
  • Proven experience leading technical initiatives and influencing cross-functional teams to deliver projects aligned with business goals.
  • Strong background writing and debugging data pipelines using distributed frameworks such as Spark, Hadoop, or similar technologies.
  • Proficiency in at least one backend development language (e.g., Scala, Java, or Go) and solid SQL expertise.
  • Exceptional analytical skills with an in-depth understanding of data quality issues and the ability to resolve inconsistencies in complex datasets.
  • Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences and collaborate across teams.
  • Familiarity with Growth or GTM roles and an understanding of Sales and Marketing data needs.
  • Experience working with large-scale data systems such as Presto/Trino, MongoDB, and Apache Pinot.
  • Experience building, deploying, and optimizing machine learning models and familiarity with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Knowledge of integrating machine learning models into data pipelines and applications to generate business insights and predictions.

Interested in this position?

Apply directly on the company website

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