Sr. Staff Data Engineer, Data Platform, CNN Digital Products & Services

Senior Staff Data Engineer, Data Platform for CNN Digital Products & Services, onsite in New York, NY, with a salary range of USD 159,600 to 296,400 per year.

Responsibilities

• Lead the architectural direction for CNN's Data Platform, owning data modeling, schema design, and platform capabilities that serve Analytics, Data Science, ML, and AI teams
• Architect and deliver scalable data pipelines for real time streaming and batch processing, from event collection through transformation to business ready datasets
• Enable cross functional teams by defining data platform APIs, data contracts, and self service capabilities that simplify building on the platform
• Drive data quality and governance standards — establish frameworks for data validation, lineage tracking, and quality monitoring across the platform
• Influence technical strategy across multiple engineering teams — contribute to planning, prioritize strategic architecture investments, and align on platform direction
• Mentor and provide growth oriented feedback to engineers up to Staff level via code reviews, design guidance, and architectural pairing
• 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 model how others work

Requirements

• 10+ years of software engineering experience with deep expertise in data engineering, data platform architecture, and large scale data systems
• 7+ 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

Technologies

• AWS
• GCP
• Azure
• EMR
• Glue
• S3
• Athena
• Redshift
• Spark
• Flink
• Airflow
• Dagster
• Java
• Go
• Python
• SQL
• Snowflake
• Databricks
• dbt
• Kafka
• Kinesis

Benefits

• Health insurance coverage
• Employee wellness program
• Life and disability insurance
• Retirement savings plan
• Paid holidays
• Sick time
• Vacation
• Annual bonuses
• Short- and long-term incentives
• Program-specific awards

How We Get Things Done

Our guiding principles drive how we operate and deliver results. See the guiding principles at www.wbd.com/guiding-principles/ for more context and team perspectives.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. We are an equal opportunity employer, and we consider qualified candidates on the basis of merit. If you require adjustments or accommodations during the application process, please visit our accessibility page for instructions to submit your request.

• Pay range: USD 159,600 - 296,400 per year
• Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards