Senior Data Engineer, Engineering & Operations

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 workforce to create and deliver a wide range of content reflecting our world.
Job Description
NBCUniversal Advertising Products & Solutions (AP&S) is responsible for the product development and project management of NBCUniversal's full advertising technology suite. From sales support to campaign execution, delivery, and billing, our division services both internal and external customers in support of NBCUniversal's $7B+ annual advertising business. Together, we're building the platform that powers the future of advertising at NBCU.
We are seeking a Senior Data Engineer, Engineering & Operations to lead the Engineering & Automation pillar. Reporting to the Sr. Director of Engineering & Operations, you will lead the engineering and operational excellence behind our data collaboration ecosystem. You will be instrumental in designing and implementing scalable data architectures and driving automation through AI agents and self-service tooling, translating prototypes into robust production solutions.
Duties and Responsibilities
The person in this role will:

• Architecture Leadership: Define partner onboarding and clean room architecture patterns across Snowflake, LiveRamp, and Databricks that are secure, scalable, and repeatable.
• Infrastructure Setup & Library Deployment: Configure and manage partner-specific clean room environments; deploy and manage Python-based libraries within the platform ecosystem.
• MLOps Integration: Establish and maintain MLOps practices, including model serving, monitoring, and pipeline orchestration for AI/ML features deployed within the platform ecosystem.
• Security & RBAC: Own design and enforcement of granular RBAC policies and least-privilege service accounts.
• Partner Onboarding: Serve as the technical lead for onboarding new partners, implementing privacy-preserving controls (e.g., aggregation thresholds and anonymization techniques).
• Pipeline & Data Product Ownership: Design, build, and operate scalable ELT pipelines using Snowpark and/or PySpark and advanced SQL to provision Gold datasets.
• Identity Resolution: Implement and evolve identity resolution logic mapping internal data to 3P identifiers (including LUIDs, RampIDs, TransUnion IDs), ensuring privacy-safe practices.
• Scalable Architecture: Design and operate scalable data architectures across Snowflake and Databricks supporting batch and near real-time processing patterns.
• Data Quality by Design: Build robust automated checks (e.g., Great Expectations or custom SQL assertions) and define quality standards to detect schema drift, null rate spikes, and volume anomalies.
• FinOps & Operational Excellence: Lead performance optimization across platforms (query tuning, caching, incremental processing) and define and implement query tagging and chargeback models for accurate cost attribution.
• Operational Maturity: Establish monitoring, alerting, runbooks, and standard operating procedures to improve platform reliability and reduce incident time-to-resolution.
• Testing & Validation: Validate that output data adheres to privacy and business requirements, and define test strategies for partner-facing releases.
• Technical Escalation: Serve as the escalation point for diagnosing connection failures, data discrepancies, or latency issues with partner technical teams.
• Agentic Workflows & Platform Enablement: Design and build internal AI agents (using frameworks like LangChain, Snowflake Cortex) and mentor other engineers through code reviews, design discussions, and operational best practices.

Qualifications

• Education: Bachelor's degree or higher in Computer Science, Information Systems, Software, Electrical or Electronics Engineering.
• Technical Experience: 5+ years of Data Engineering experience, with deep proficiency in advanced SQL and Python. 3+ years of hands-on experience with cloud data platforms, specifically Snowflake or Databricks.
• Proven experience building and operating scalable ELT pipelines using orchestration tools (e.g., Airflow, dbt).
• Strong track record designing production-grade systems (observability, reliability, performance tuning, incident response).
• Specialized Skills: Clean Room Knowledge: Exposure to Data Clean Room concepts and Clean Room platforms like LiveRamp, Snowflake or Databricks.
• AI/LLM Experience: Experience building applications with LLMs, RAG, Vector Databases, or frameworks like LangChain/LlamaIndex.
• Leadership: Ability to mentor other engineers through code reviews, design discussions, and operational best practices.
• Certifications Preferred: SnowPro Core Certification OR Databricks Certified Data Engineer Associate.
• Certifications Highly Preferred: SnowPro Advanced: Data Engineer OR Databricks Certified Data Engineer Professional.

Additional Requirements:
Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee's residence.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.
Salary range: $140,000 - $180,000 (bonus eligible)
Additional Information
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing [email protected].
For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.