Warner Bros. Discovery

Principal Analytics Engineer

Warner Bros. Discovery

full-time

Posted on:

Location Type: Hybrid

Location: Culver City • California, New York, Washington • 🇺🇸 United States

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Salary

💰 $175,700 - $326,300 per year

Job Level

Lead

Tech Stack

KafkaPythonScalaSparkSQLTableau

About the role

  • Define and champion WBD’s enterprise data & analytics strategy
  • Create technical roadmaps that balance innovation, scalability, and business needs
  • Architect and govern data models, semantic layers, and analytic data products
  • Partner with executive stakeholders to translate strategic goals into actionable data initiatives
  • Provide technical leadership on large-scale, cross-functional data initiatives
  • Drive the adoption of best practices in data modeling, metadata management, observability, and data quality
  • Serve as a thought leader and mentor to senior engineers

Requirements

  • Bachelor’s degree required
  • MS/PhD in Computer/Data Science, Engineering, Mathematics, or related field strongly preferred
  • 12+ years of progressive experience in analytics engineering, data architecture, or advanced analytics leadership
  • Proven track record designing and governing semantic data layers and data product ecosystems at enterprise scale
  • Deep expertise in SQL and proficiency in general-purpose programming (Python, Scala, or similar)
  • Strong background with big-data technologies (e.g., Spark, Delta Lake, Kafka, Snowflake, Databricks, or equivalent)
  • Demonstrated success engaging with C-level executives
  • Ability to communicate complex technical concepts in clear, strategic language
  • Prior experience in Direct-to-Consumer (DTC) based businesses strongly preferred
  • Advanced experience with BI/visualization tools (e.g., Looker, Tableau, Power BI)
  • Skilled at transforming complex, messy, or incomplete datasets into reliable, consistent models and data products
  • Familiarity with applied data science and machine learning
Benefits
  • Health insurance coverage
  • Employee wellness program
  • Life and disability insurance
  • Retirement savings plan
  • Paid holidays and sick time
  • Vacation

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architectureanalytics engineeringdata modelingmetadata managementdata qualitySQLPythonScalabig-data technologiesdata science
Soft skills
technical leadershipcommunicationmentorshipstrategic thinkingstakeholder engagement
Certifications
Bachelor's degreeMS/PhD in Computer/Data ScienceEngineeringMathematics
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