Director, Data Engineering

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 theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

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.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

Job Description

As a Director of Data Engineering, you will be play a pivotal role in the design, development, and implementation of robust data architecture and pipelines that support critical business decisions, analytics, and product development. This role is crucial in creating a connected data ecosystem that unleashes the power of our first party, third party and zero party data to drive innovation and growth. This data ecosystem is at the core of making intelligent customer and business decisions.

This role is ideal for a hands-on technical leader who thrives in a fast-paced, media-rich environment and is passionate about driving innovation through data.

Responsibilities include, but are not limited to:

• Lead high-performing data engineering squads, setting clear objectives, fostering a collaborative environment, and driving team growth.
• Lead the design, development, and maintenance of scalable data pipelines and architectures across internal, third-party, and cloud-based sources.
• Ensure data accuracy, completeness, and consistency across various sources.
• Collaborate with data scientists and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
• Implement best practices for data engineering, including performance tuning, monitoring, and documentation.
• Evaluate and adopt emerging technologies to improve data engineering capabilities.
• Foster the growth of your team members through coaching, mentorship, and opportunities for technical development.
• Contribute to strategic planning and execution of data initiatives aligned with business goals.
• Support the VP of Data Engineering in executing the broader data strategy and roadmap.

Qualifications

The Person

• Proven experience (6+ years) in data engineering, with at least 2 years in a leadership role.
• Experience with media-specific data platforms, including content management systems, ad tech, and digital media analytics tools.
• Proficiency in programming languages such as Python, Java, or Scala for data processing tasks.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and cloud data warehouses (e.g., Redshift, Snowflake, Databricks.)
• Expertise in SQL/ NoSQL databases (e.g., PostgreSQL, MongoDB, BigQuery, or similar), and big data technologies (e.g., Hadoop, Spark, Kafka, etc.).
• Strong background in designing and building complex, high-performance data systems, including data lakes, data warehouses, and real-time data pipelines.
• Proven ability to manage and scale a growing team of data engineers, providing both technical guidance and career development.
• Excellent communication skills to collaborate with other teams and stakeholders.
• Familiarity with data visualization tools like Tableau or Looker.
• Ability to work collaboratively with cross-functional teams in a matrixed organization.
• Experience with machine learning and data science workflows.
• Familiarity with media industry standards