Patreon - New York, NY

posted 2 months ago

Full-time - Mid Level
Remote - New York, NY
10,001+ employees
Performing Arts, Spectator Sports, and Related Industries

About the position

As a Senior Software Engineer on the Data Infrastructure team at Patreon, you will be part of a tight-knit group of highly motivated and experienced data engineers and data infrastructure engineers. This role involves frequent collaboration with data scientists, product managers, and other engineering teams to enhance our data platform and suite of data tools. You will play a crucial role in managing and building out our data infrastructure, which is essential for supporting our mission of empowering creators to connect with their fans and monetize their work effectively. In this position, you will be expected to drive a data-centric culture at Patreon, working autonomously on large greenfield initiatives. You will help define and implement data best practices across the company, ensuring that our data systems are robust, scalable, and efficient. Your expertise will be vital in architecting large systems, including data warehouses and lakes, and in utilizing orchestration tools and libraries to streamline data processes. You will also be responsible for building platform tooling that enables data self-service for engineers and data scientists, fostering an environment where data can be accessed and utilized effectively. This role requires a highly motivated self-starter who is eager to tackle complex problems and deliver high-quality results. Your ability to collaborate with various teams and take on project management responsibilities will be key to driving successful outcomes.

Responsibilities

  • Manage and build out the data platform and suite of data tools.
  • Drive a data-centric culture at Patreon.
  • Work autonomously on large greenfield initiatives.
  • Define and implement data best practices across the company.
  • Architect large, scalable data systems including warehouses and lakes.
  • Utilize orchestration tools and libraries to streamline data processes.
  • Build platform tooling to enable data self-service for engineers and data scientists.
  • Collaborate with data scientists and product engineers to drive results.

Requirements

  • Expert in Python (or equivalent) and SQL / Spark.
  • Experience managing Data Infrastructure including warehouses and lakes (Big Query, Snowflake, Delta Lake, etc.).
  • Experience with orchestration tools and libraries (Airflow, DBT, etc.).
  • Experience architecting large, scalable systems including messaging systems and event systems.
  • Ability to build platform tooling for data self-service.
  • Strong collaboration skills with data scientists and product engineers.
  • Project management skills to drive results.

Nice-to-haves

  • Experience with cloud platforms and services.
  • Familiarity with data governance and compliance standards.
  • Knowledge of machine learning concepts and tools.

Benefits

  • Competitive salary
  • Equity plans
  • Healthcare coverage
  • Unlimited paid time off
  • Company holidays and recharge days
  • Commuter benefits
  • Lifestyle stipends
  • Learning and development stipends
  • Parental leave
  • 401k plan with matching
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service