Data Engineering Manager
AI summary of the role
Hands-on data engineering manager supporting Universal+, Hayu, and NBCUniversal International Networks & DTC, focusing on Florida and Latin America.
What you’ll do
- Design, build, and support data pipelines, models, and reporting datasets on Snowflake and cloud platforms.
- Translate local business and product requirements into maintainable data engineering solutions.
- Develop Snowflake objects, SQL transformations, performance tuning, and cost-conscious usage.
- Build integrations with internal/third-party systems (analytics, CRM, marketing tech, finance, content).
What you’ll bring
- Experience designing and supporting data engineering solutions in commercial environments (streaming/media preferred).
- Strong hands-on ETL/ELT, SQL transformations, APIs, orchestration, and production support.
- Strong SQL and Snowflake skills including data modeling, performance tuning, and access controls.
- Project coordination experience with planning and stakeholder reporting.
Technologies
Snowflake · SQL · Python · AWS · ETL · ELT · data modeling · orchestration · serverless · data governance
About NBCUniversal
Creates and monetizes entertainment, news, sports, streaming, films, TV studios, consumer products, and theme-park experiences across NBC, Telemundo, Universal, Peacock, Bravo, and parks.
Acquired · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Job Description The Data Engineering Manager will be a hands-on data engineering role supporting Universal+, Hayu, and the wider NBCUniversal International Networks & Direct-to-Consumer business, with a particular focus on local delivery and stakeholder needs in Florida and Latin America. Reporting to the Senior
More from the job description
Company Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented [... source excerpt omitted ...] e dependencies and delivery plans, and act as a key bridge between business stakeholders, product teams, analytics teams, vendors, and the wider International Data Platform team. Responsibilities: Hands-on Data Engineering: Design, build, test, deploy, and support reliable data pipelines, data models, integrations, and reporting datasets across Snowflake and related cloud data platform services. Local Data Delivery: Support local business and product priorities by translating stakeholder requirements into practical, maintainable data engineering solutions. Snowflake & Data Platform Support: Develop and maintain Snowflake objects, SQL transformations, data models, secure access pat [... source excerpt omitted ...] atives. Stakeholder Management: Act as a local point of contact for product, analytics, finance, marketing, operations, commercial, content, and technology stakeholders, ensuring requirements, priorities, risks, and delivery status are clearly understood. Data Quality, Governance & Support: Monitor and improve data quality, pipeline reliability, documentation, access controls, privacy, security, lineage, and operational support processes. Team Collaboration: Work closely with data engineers, analysts, product owners, engineering teams, vendors, and enterprise technology partners to deliver well-documented and maintainable solutions. Continuous Improvement: Identify opportunities
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