Storytelling is, and will always be, the heart of what we do at Skydance.Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.
Here, you'll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.
If you're energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we'd be thrilled to welcome you aboard. LET'S GO!
Sr. Data Engineering ManagerThe Applied Intelligence Data Engineering team is seeking a Data Engineering Manager to lead the design, delivery, and operational excellence of large-scale batch and real-time data platforms. This role will oversee high-performance data engineering teams that power analytics, APIs, AI workflows, and mission-critical data services across the organization. You will guide the design and execution of distributed data systems. This includes ETL and ELT pipelines. It also includes streaming platforms, warehouse ecosystems, and cloud-native infrastructure. As a manager, you will shape technical direction, develop engineering talent, and ensure production-grade reliability, scalability, and operational rigor across data platforms.
This role requires expertise in modern data architectures and distributed systems. You should also have knowledge of cloud-native engineering. It is essential to have proven experience in leading high-performing engineering teams.
Key ResponsibilitiesLead & Scale Data Engineering Teams Manage and develop a team of data engineers responsible for batch and streaming data systems.
Drive technical execution across ingestion, transformation, modeling, and serving layers.
Establish engineering standards, code quality practices, and architectural review processes.
Mentor engineers in distributed systems design, performance optimization, and production reliability.
Architect Scalable Data Platforms Ensure scalable data modeling standards and efficient query performance across analytical workloads.
Guide decisions about architecture. This includes orchestration and schema evolution. It also covers partitioning strategies and storage optimization.
Partner with streaming engineers to align batch and real-time data patterns into cohesive platform designs.
Cross-Functional Collaboration Partner closely with Data Product Management to align roadmap priorities, SLAs, and platform KPIs.
Collaborate with software engineers to integrate streaming systems, APIs, and microservices into the broader data ecosystem.
Clearly communicate architectural tradeoffs to stakeholders. Share delivery risks and operational constraints as well.
Technical Leadership Lead architectural reviews and drive long-term platform strategy.
Foster a culture of ownership, documentation, and continuous improvement.
Required Skills & ExperienceModern Data Architecture Strong expertise in data lakes, warehouses, and lakehouse architectures.
Deep understanding of ETL/ELT frameworks, orchestration platforms, and distributed data processing systems.
Solid understanding of Kafka-based architectures and event-driven data patterns.
Team Development & Coaching Proven experience hiring, onboarding, and retaining high-performing engineers across varying seniority levels.
Commitment to building an inclusive, collaborative, and accountable team culture.
Execution & Delivery Leadership Strong sprint planning, capacity modeling, and roadmap sequencing skills.
Ability to manage competing priorities across reliability, feature delivery, and technical debt reduction.
Experience establishing engineering KPIs such as reliability, latency, throughput, and deployment frequency.
Qualifications Proven experience leading engineering teams delivering large-scale production data platforms.
Strong foundation in distributed systems engineering and cloud-native architecture.
You should have great communication skills. You also need to collaborate with different teams.
You should be self-motivated. Focus on quality. A commitment to engineering excellence and operational discipline is essential.
Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment . Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME .
ADDITIONAL INFORMATION
Hiring Salary Range: $139,200.00 - 208,800.00.
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. 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 or by sending an email to Only messages left for this purpose will be returned.
