Your New RoleCNN is seeking a Sr. Analytics Developer with subject matter expertise in analytic workstreams and data analysis. You have demonstrated a pattern of independently shipping analytical solutions. You are comfortable working on cross-functional team and diverse stakeholder requirements.
Your work powers audience analytics, personalization, and content recommendations for millions of users daily across CNN.com, the CNN mobile app, and connected TV experiences. You will drive architecture decisions, set engineering standards, and mentor other engineers on the team. If you thrive on owning complex systems end-to-end and care deeply about building reliable, secure infrastructure at scale - this is the role.
Your Role Accountabilities- Participate in 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
- Develop, 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.
- 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
- You create functional level impact and deliver more complex features. You also help drive clarity and define problems proactively.
- Evangelize and oversee implementation of data engineering best practices - your code, documentation, and operational standards are the model others follow
- You think about the long-term health of your work, your monitoring, your alerting, and your documentation. You nurture all of these in parallel to your engineer responsibilities.
Qualifications & ExperienceRequired
- 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 working with Snowflake, Databricks, or other modern enterprise data warehouses
- 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
- Demonstrated experience leading technical direction and influencing best practices
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
- Familiarity 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.
This is a newly created position.
