Walmart-posted 11 days ago
Full-time • Principal
Atlanta, GA
11-50 employees

Warner Bros. Discovery seeks a Principal Data Engineer – Data for the Data & Shared Services organization. We are looking for a talented Principal Data Engineer to join our Data Engineering Team. The person works across multiple functional and technical groups, educates technical and non-technical stakeholders, effectively manages expectations, and help establish priorities. They must drive project delivery within established timeframes, and scope while delivering business value and simultaneously planning for and managing future requirements. Strong analytical skills and passion for Data is a must.

  • Architect & Lead Define and implement the strategic vision for data platforms supporting streaming and ad tech ecosystems. Establish best practices for data engineering, governance, and performance optimization.
  • Platform Development Build and optimize large-scale data pipelines using Databricks, Spark, and Flink. Design robust data models and storage solutions leveraging Snowflake and AWS services.
  • Streaming & Real-Time Architect real-time ingestion and processing frameworks using Kafka and Flink for streaming events and ad delivery data.
  • Integration & Interoperability Drive integration with OTT platforms, linear networks, CDPs, and ad sales systems for campaign targeting and measurement.
  • Reporting Enablement Ensure data availability and quality for BI tools such as Power BI and Tableau to support dashboards and executive reporting.
  • Leadership & Mentorship Mentor engineering teams, review designs, and ensure adherence to architectural standards.
  • Innovation Evaluate emerging technologies and recommend solutions to improve scalability, cost efficiency, and data quality.
  • Bachelor’s degree in science, Statistics, Engineering, Business Administration or similar field of study
  • 14+ years of experience building and scaling data platforms.
  • Expert in one or modern data replication and data integration tools (for example Informatica, Attunity, AWS DMS, etc.)
  • Expert in one or more modern data lake and data warehouse tools (for example Teradata, Redshift, Snowflake, etc.)
  • Expert in one or more modern advanced analytics tools (for example Spark, Data Bricks, Python, AWS Glue, etc.)
  • Experience in one or more modern advanced business intelligence & visualization tools (for example Business Objects, Tableau, Looker, etc.)
  • Experience in software delivery through continuous integration (for example git, bitbucket, Jenkins, etc.)
  • Experience in one or more automation and scheduling tools (for example Redwood, Airflow, etc.)
  • Experience with Atlassian Suite (JIRA, Confluence)
  • Experience with Excel spreadsheets, modeling, and reporting.
  • Knowledge of cloud-based environments (AWS is a plus)
  • Public speaking and presentation skills.
  • Experience with data science tools such as NumPy, Pandas, R, MATLAB etc.
  • Experience with data processing engines like spark
  • Experience with DBT.
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