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Senior Software Engineer
Warner Bros. Discovery. Set the architectural direction for CNN’s Data Platform — own data modeling, schema design, and platform capabilities that serve Analytics, Data Science, ML, and AI teams .
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSAzureCloudETLGoGoogle Cloud PlatformJavaPythonSparkSQL
About the role
Key responsibilities & impact- Set the architectural direction for CNN’s Data Platform — own data modeling, schema design, and platform capabilities that serve Analytics, Data Science, ML, and AI teams
- Lead architecture, design, and implementation of CNN’s Data Platform for real-time data use cases
- Mentor junior engineers through code reviews, design sessions, and technical guidance
- Deliver scalable data pipelines for both real-time streaming and batch processing, from event collection through transformation to business-ready datasets
- Drive best practices around security, performance, and reliability for data services
- Contribute to technical roadmap planning and advocate for improvements to the data platform
- Deliver high-quality, well-tested code - improve code, documentation, and operational runbooks with each iteration
- Communicate designs, architectural decisions, and technical tradeoffs clearly to engineers and leaders at all levels — represent the data platform domain with autonomy
- Evangelize and oversee implementation of data engineering best practices — your code, documentation, and operational standards are the model others follow
Requirements
What you’ll need- 5 + years of software engineering experience with deep expertise in data engineering, data platform architecture, and large-scale data systems
- 3+ years of experience with cloud technology (AWS, GCP, or Azure), including data-specific services (e.g., EMR, Glue, S3, Athena, Redshift)
- Strong expertise in data processing frameworks (Spark, Flink, or equivalent) and orchestration tools (Airflow, Dagster, or equivalent)
- Experience with data modeling, ETL architecture, and designing schemas that serve diverse analytical and ML use cases
- Strong programming experience across at least two of Java, Go, Python, and SQL
- Previous experience working with Snowflake, Databricks, or other modern enterprise data warehouses
- Demonstrated experience leading technical direction and setting engineering standards across multiple teams — not just executing, but defining how teams build.
Benefits
Comp & perks- Thoughtfully curated benefits
- Tools to explore and grow into your best selves.
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata platform architecturelarge-scale data systemsdata modelingETL architecturedata processing frameworksprogramming (Java, Go, Python, SQL)real-time data processingdata pipelinescloud technology
Soft Skills
mentoringcommunicationleadershiptechnical guidanceadvocacybest practicescollaborationautonomydesign sessionscode reviews