
Leading company in the entertainment industry
Sr. Staff Data Engineer, Data Platform, CNN Digital Products & Services at Warner Bros. Discovery
About the role
**Welcome to Warner Bros. Discovery… the stuff dreams are made of.Who We Are…
When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
We are CNN. THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS. We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place.
Your New Role…
CNN is seeking a Sr. Staff Data Engineer to serve as the technical authority for CNN’s Data Platform — the foundation that powers analytics, data science, machine learning, and AI across CNN’s digital products. You will define and execute the platform’s data strategy, architect the systems that transform raw event data into business-ready intelligence, and enable teams across CNN to build on a shared, reliable data ecosystem. Your work underpins everything from data-driven journalism and audience analytics to ad targeting and personalized content recommendations across CNN.com, the CNN mobile app, and connected TV experiences.
This is a senior individual contributor role with organization-wide influence. You will set the architectural direction for CNN’s data platform, drive technical standards across multiple engineering teams, and mentor engineers up to Staff level. If you want to define how a global newsroom’s data infrastructure works — not just build features on it — this is the role.
Your Role Accountabilities…
- 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
- Architect and deliver scalable data pipelines for both 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 make it easy for engineers and analysts to build 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 significantly to planning, prioritize strategic architecture investments, and drive alignment on platform direction
- Mentor and provide growth-centered feedback to engineers up to Staff level through 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 are the model others follow
Qualifications & Experience…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
Preferred
- Experience working on end-to-end analytics pipelines from event collection to producing business-ready semantics
- Deep familiarity with dbt or similar transformation frameworks
- Experience with streaming and event-driven architectures (Kafka, Kinesis, Flink) at scale
- Experience building or supporting AI/ML pipelines, feature stores, or model training infrastructure
- Familiarity with data governance, data quality frameworks, and data cataloging tools
- Experience in media, streaming, digital advertising, or consumer-facing products at scale
How We Get Things Done…
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $159,600.00 - $296,400.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
Required skills
Data engineering
Data platform architecture
ETL/ELT
Technical leadership
Analytics infrastructure
Machine learning data support
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About Warner Bros. Discovery

Warner Bros. Discovery
PublicWarner Bros. Discovery, Inc. (WBD) is an American multinational mass media and entertainment conglomerate headquartered in New York City. It was formed from WarnerMedia's spin-off by AT&T and merger with Discovery, Inc. on April 8, 2022.
10,001+
Employees
New York City
Headquarters
$20B
Valuation
Reviews
10 reviews
3.5
10 reviews
Work-life balance
2.8
Compensation
4.0
Culture
4.2
Career
3.0
Management
2.5
65%
Recommend to a friend
Pros
Good benefits and compensation
Supportive team and great colleagues
Innovative and creative projects
Cons
Poor management and leadership issues
Work-life balance challenges
High pressure and workload
Salary Ranges
4 data points
L3
L4
L5
L3 · Data Scientist I
0 reports
$124,580
total per year
Base
-
Stock
-
Bonus
-
$105,893
$143,267
Interview experience
9 interviews
Difficulty
2.1
/ 5
Duration
21-35 weeks
Offer rate
22%
Experience
Positive 33%
Neutral 67%
Negative 0%
Interview process
1
Application Review
2
Phone Screen
3
Technical Interview
4
Final Interview
5
Offer Decision
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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