Role Details
In this important role, you will develop and maintain scalable data pipelines. You will build reliable core business reasoning. You will ensure high data quality standards for content metadata. This includes titles, rights, taxonomy, and catalog data that support Paramount's streaming business.
You will work closely with analysts, data engineers, content operations, programming, licensing, and product teams. Your goal is to convert basic metadata feeds and content data into reliable datasets, dashboards, and insights. These will support decision-making for Paramount+, Pluto TV, and other Paramount streaming services.
This role is ideal for someone who thrives at the intersection of engineering and analytics and wants to drive data excellence at scale. This role has people management responsibilities.
Responsibilities
Pipeline Ownership: Design, build, and maintain scalable data pipelines. These pipelines will manage content metadata like titles, rights and licensing windows, genres, talent, franchise or series hierarchies, and availability. You will work with data engineering and analytics teams. Content Metadata Modeling: Develop and improve reliable data models. These models will unify content metadata from different sources. This includes ingest, catalog management, licensing, and rights management systems. They will support detailed reporting. This reporting will be at the title, franchise, and window levels.
Data Quality: Collaborate with software and data engineering teams. Make sure the metadata is complete, precise, and consistent. This involves identifying issues such as duplicate titles, missing or conflicting rights windows, incorrect genre or talent tagging, and misclassified territories.
Performance Monitoring: Contribute to anomaly detection systems and operational dashboards that track content catalog health, metadata completeness, and data quality KPIs. Collaboration across functions is important. You will work closely with analysts. Collaborate with content operations, programming teams, licensing, and product managers. You will translate business needs into technical data solutions. Tooling & Enablement: Build scalable, performant datasets in platforms such as Databricks, Looker, and Snowflake to enable self-service analytics for content stakeholders. Documentation & Standards: Lead the creation and maintenance of clear technical documents. Set coding standards and practices for data governance. Focus on metadata taxonomy standards and ensure compliance with content rights.
Basic Qualifications
Bachelor’s degree in economics, Statistics, Analytics, Computer Science, MIS, Data Engineering, or related field. 7+ years of experience in analytical engineering, data engineering, or data analytics with solid SQL and data modeling expertise.
Deep knowledge of ETL/ELT principles, data architecture, and performance optimization. Proven experience building scalable data products and pipelines using tools such as Databricks, Airflow, Spark, or similar platforms. You should have direct experience with modeling and maintaining content metadata pipelines. This includes working with title catalogs, rights and windowing data. You should also be acquainted with genre and talent taxonomies, or similar structured data in entertainment or media. Proficient ability to collaborate with both technical and non-technical stakeholders to deliver high-impact data solutions.
Fluency in building and maintaining production-grade datasets in cloud-based data environments (e.g., Snowflake, Redshift, BigQuery). Proficiency with BI tools such as Looker and Tableau, including building curated data layers and performance tuning. Solid data hygiene practices, including version control, code reviews, unit testing, and documentation. Exemplary problem-solving skills and attention to detail, especially when reconciling metadata inconsistencies across systems.
Additional Qualifications
Experience working with content rights and licensing data, including availability windows, territory restrictions, and content lifecycle management. Knowledge with content taxonomy and classification systems used in entertainment or media. Proficiency in Python or another scripting language for data transformation or orchestration.
Knowledge with streaming media or direct-to-consumer digital products.
Experience implementing anomaly detection systems or contributing to root cause investigations for metadata issues. Knowledge of data governance and compliance best practices as they relate to licensed content.
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About Skydance
Skydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media. Skydance's portfolio unites legendary brands, including Paramount, Warner Bros., HBO and HBO Max, Paramount+, Pluto TV, CBS, CNN, CBS Sports, TNT Sports, Nickelodeon, Cartoon Network, MTV, Food Network, BET, HGTV, and Comedy Central.
What We Offer
Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here.
Generous paid time off.
Complimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products.
Robust employee engagement opportunities, including access to exclusive screenings and events, speaker series, volunteer activities and more.
Skydance is an equal opportunity employer (EOE)
We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law.
If you are a qualified individual with a disability, you may request a reasonable accommodation during the job application and/or recruitment process. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
Nearest Major Market: Manhattan
Nearest Secondary Market: New York City
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