Storytelling is, and will always be, the heart of what we do at Skydance.
Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.
Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.
If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!
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. ㅤ
To see what it’s like to work at CNN, follow @WBDLife on Instagram and X!
We are CNN. The world’s most essential and engaging source of digital news. We are in the midst of rapid transformation and are looking for the next generation of innovators, makers, and dreamers to help lead our growth and shape the future of news.
Your New Role…
The Staff Data Architect plays a critical, hands‑on role in evolving and strengthening CNN’s modern data ecosystem. This is a platform‑focused role for a senior technologist who thrives at scale—designing and implementing robust, performant, and governed data architecture that powers analytics, reporting, and decision‑making across the organization.
You’ll combine deep technical expertise with practical leadership, helping define architecture and modeling standards, mentoring engineers and analysts, and partnering closely with platform and analytics teams to deliver reliable, scalable data systems. This role is ideal for someone passionate about improving time‑to‑insight, driving metric consistency, and building trusted semantic data models across a high‑impact analytics platform.
Your Role Accountabilities…
Design and implement scalable data architecture patterns on Snowflake to support high‑volume event and analytics workloads, with a strong focus on performance, security, and cost efficiency through query optimization, warehouse sizing, storage management, and governance best practices.
Lead the technical design and implementation of complex data systems and platform enhancements, establishing and maintaining architecture and data modeling standards that promote consistency, scalability, and reliability across Snowflake and dbt workflows.
Define and implement secure, scalable data access patterns, leveraging role‑based access control and managed access schemas to ensure data is governed, auditable, and accessible to the right audiences.
Design and operate data quality and observability frameworks, using dbt tests and monitoring tools to track pipeline health, latency, and freshness, and to continuously improve platform reliability and operational visibility.
Partner closely with platform engineering and analytics teams to improve system reliability, scalability, and operational efficiency, contributing to platform architecture planning and technical roadmaps.
Translate complex analytics and business requirements into clean, well‑governed semantic data models that enable trusted self‑service analytics and consistent metrics across BI tools.
Define and implement data lifecycle and retention strategies that balance performance, cost efficiency, compliance, and data availability across the analytics platform.
Act as a technical mentor and thought leader, helping grow the skills of engineers and analysts and raising the overall bar for data architecture and engineering…