Warner Bros Discovery Inc-posted about 2 months ago
Full-time • Mid Level
Atlanta, GA
5,001-10,000 employees
Motion Picture and Sound Recording Industries

As a Senior Staff Data Engineer, you will work across teams to design, build and operate the data foundations that power ML training, feature computation and real-time inference for our Machine Learning team. You will partner with ML engineers, platform engineers and product teams to discover data needs, build reliable data pipelines and deliver high-quality data products that empower and accelerate the team.

  • Design and own data pipelines and products that support ML training, feature storage and inference.
  • Model datasets and schemas optimized for ML features and real time (low latency) inference.
  • Establish data quality, testing, and observability.
  • Collaborate with stakeholders to translate requirements into durable data products and interfaces.
  • Set engineering standards, review designs/code, mentor engineers, and lead cross- team initiatives.
  • 10+ years building production data solutions. Strong SQL and data modeling.
  • Expertise in modern data tools (Kafka, Airflow, Spark, etc.)
  • Expertise with distributed systems and a strong understanding of the way data is modeled impacts what is possible
  • Proficiency in several programming languages
  • Passion for data quality and reliability; comfort owning systems end-to-end in a fast-moving environment.
  • Comfortable working cross functionally.
  • Experience with streaming and event-driven systems
  • Proficiency in Go and/or Python.
  • Experience with Snowflake, DynamoDB and Open Search.
  • Cloud infrastructure & IaC experience, especially AWS & Terraform.
  • ML platform tooling familiarity (eg. Metaflow, SageMaker)
  • Experience with Experimentation and A/B Testing
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