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About the Role
Lead the strategy, design, delivery, and operational excellence of large-scale batch and real-time data platforms. Oversee multiple data engineering teams powering analytics, APIs, AI workflows, and mission-critical data services. Guide the design and implementation of distributed data systems, including ETL/ELT pipelines, streaming platforms, warehouse ecosystems, and cloud-native infrastructure. Shape technical direction, develop engineering talent, and ensure production-grade reliability, scalability, and operational rigor.
Responsibilities
- Manage and develop a team of data engineers in charge of 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.
- Foster a culture of operational excellence, accountability, continuous improvement, and technical ownership.
- Ensure scalable data modeling standards and efficient query performance across analytical workloads.
- Assist with important architectural choices, including orchestration, schema evolution, partitioning strategies, and storage optimization.
- Partner with streaming engineers to align batch and real-time data patterns into cohesive platform designs.
- Ensure platform reliability by focusing on solid operational practices, including managing SLAs, monitoring performance, responding to incidents, and planning for capacity.
- 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 explain architectural tradeoffs to stakeholders, delivery risks, and operational constraints.
- Lead architectural reviews and drive long-term platform strategy.
- Foster a culture of ownership, documentation, and continuous improvement.
- Stay current with evolving technologies and industry trends in cloud data platforms, distributed systems, and AI data infrastructure.
Requirements
- Strong expertise in data lakes, warehouses, and lakehouse architectures.
- Deep knowledge of ETL/ELT frameworks, orchestration platforms, and distributed data processing systems.
- Solid knowledge of Kafka-based architectures and event-driven data patterns.
- Skilled in orchestration frameworks, workflow automation, and managing production-grade pipelines.
- Experience building and operating cloud-native data platforms in AWS, GCP, or OCI environments.
- Strong foundation in distributed systems engineering, scalability patterns, resiliency design, and high-availability architectures.
- Experience optimizing performance, throughput, latency, and cost efficiency across large-scale data workloads.
- Proficient in containerized infrastructure and Kubernetes with knowledge of Infrastructure-as-Code and modern deployment practices.
- Proven experience hiring, onboarding, and retaining high-performing engineers across varying seniority levels.
- Strong coaching, mentoring, and ability to manage performance effectively.
- Committed to creating an inclusive and collaborative engineering culture that is also accountable.
- 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.
- 7 - 8+ years of experience in data engineering, software engineering, or platform engineering roles, with at least 5+ years of direct engineering management experience.
- Proven experience leading engineering teams delivering large-scale production data platforms.
- Strong foundation in distributed systems engineering and cloud-native architecture.
- Well-developed communication skills and ability to work with different teams.
- Self-motivated, focused on quality, dedicated to engineering excellence, and maintain solid operational discipline.
Skills
- Data lakes
- Data warehouses
- Lakehouse architectures
- ETL/ELT frameworks
- Orchestration platforms
- Distributed data processing systems
- Kafka-based architectures
- Event-driven data patterns
- Workflow automation
- Cloud-native data platforms (AWS, GCP, OCI)
- Distributed systems engineering
- Scalability patterns
- Resiliency design
- High-availability architectures
- Containerized infrastructure
- Kubernetes
- Infrastructure-as-Code
- Modern deployment practices
- Hiring
- Onboarding
- Performance management
- Coaching
- Mentoring
- Sprint planning
- Capacity modeling
- Roadmap sequencing
- KPI establishment
Location
- New York
- California
- Colorado
- Washington state
Work Type
- Full-time
Experience Level
- Senior
- Manager
Education Level
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; advanced degree preferred.
Salary/Compensations
- $157,000.00 - $235,000.00
Benefits
- Medical
- Dental
- Vision
- 401(k) plan
- Life insurance coverage
- Disability benefits
- Tuition assistance program
- PTO
- Bonus eligible
- Attractive compensation and comprehensive benefits packages
- 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.
About the Company
- 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.
- 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®.
Equal Opportunity
- 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.