Role Details
In this role you will develop and maintain scalable data pipelines. You will also build reliable core business reasoning. Additionally, 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 turn raw metadata feeds and content telemetry into consistent datasets, dashboards, and insights. These resources will support decision-making for Paramount+, Pluto TV, and Paramount's larger streaming portfolio. 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 robust data pipelines. These pipelines will oversee content metadata, including titles, rights, licensing windows, genres, talent, franchise or series hierarchies, and availability. You will work closely with data engineering and analytics teams. Content Metadata Modeling: Develop and refine reliable data models. These models will unify content metadata from different sources. This includes ingest, catalog management, licensing, and rights management systems. This will help with precise reporting at the title, franchise, and window levels.
Data Quality: Work with software and data engineering teams. Ensure that metadata is complete and reliable. This includes catching 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. Cross-functional Collaboration: Work closely with analysts. Collaborate on projects. Share insights. Collaborate with the content operations team. Work with programming teams, licensing, and product managers. Your goal is to turn 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 and Standards: We support creating and maintaining clear technical documents. Set coding standards and data governance practices. Focus on metadata taxonomy standards and ensure content rights compliance.
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 in modeling and maintaining content metadata pipelines. This involves managing title catalogs, rights data, windowing data, and genre or talent taxonomies. Experience with similar structured data in entertainment or media is also acceptable. Solid 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, Big Query). Proficiency with BI tools such as Looker and Tableau, including building curated data layers and performance tuning. Proficient 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.
ADDITIONAL INFORMATION
Hiring Salary Range: $157,000.00 - 235,000.00.
In compliance with local law, we are disclosing compensation, or a range thereof, for roles where legally required. Actual salaries will vary based on a variety of job-related factors, including but not limited to geographic location, external market data, internal equity, skill set, experience, training, education, and/or performance. Base pay is just one component of our total compensation package. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. This position is bonus eligible.
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: Los Angeles
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