yoinka

Senior Analytics Developer

Warner Bros. Discovery

Kanata 307 Legget Dr.Senior
Sign in to applyVerified 1h ago
Location
Kanata 307 Legget Dr.
Work model
On-Site
Level
Senior
Posted
Sep 17, 2026

Skills

DatabricksGoJavaPythonSQLSnowflake

About this 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 the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it’s like to work at CNN, follow @WBDLife on  Instagram  and  X ! Your New Role CNN is seeking a Sr.   Analytics   Developer   with   subject matter   expert ise   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 & Experience Required 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

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