Senior Manager, Data Engineering
About The Position
The Applied Intelligence Data Engineering team is seeking a Senior Data Engineering Manager to lead the strategy, design, delivery, and operational excellence of large-scale batch and real-time data platforms. The role oversees multiple data engineering teams supporting analytics, APIs, AI workflows, and mission-critical data services across the organization. The manager guides the design and implementation of distributed data systems, including ETL and ELT pipelines, streaming platforms, warehouse ecosystems, and cloud-native infrastructure. The role shapes technical direction, develops engineering talent, and ensures production-grade reliability, scalability, and operational rigor across data platforms. It requires deep expertise in modern data architectures, distributed systems, and cloud-native engineering, as well as proven experience leading multiple teams and managing managers or senior individual contributors. Paramount Streaming, a division within Paramount Global, operates the direct-to-consumer services Pluto TV and Paramount+. Pluto TV offers free ad-supported television, global channels, and streaming content. Paramount+ is a subscription video-on-demand and live-streaming service featuring sports, news, and entertainment content.
Requirements
- 7–8+ years of experience in data engineering, software engineering, or platform engineering roles.
- At least 5+ years of direct engineering management experience.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Proven experience leading engineering teams delivering large-scale production data platforms.
- 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.
- Experience with orchestration frameworks, workflow automation, and 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.
- Proficiency 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 and mentoring skills, and ability to manage performance effectively.
- Commitment to an inclusive, collaborative, and accountable engineering culture.
- 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.
- Well-developed communication skills and ability to work with different teams.
- Self-motivated, quality-focused, and committed to engineering excellence and operational discipline.
Nice To Haves
- An advanced degree is preferred.
Responsibilities
- Manage and develop data engineers responsible for batch and streaming data systems.
- Drive technical execution across data 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.
- Promote operational excellence, accountability, continuous improvement, and technical ownership.
- Ensure scalable data modeling standards and efficient query performance across analytical workloads.
- Guide architectural choices involving orchestration, schema evolution, partitioning strategies, and storage optimization.
- Partner with streaming engineers to align batch and real-time data patterns in cohesive platform designs.
- Ensure platform reliability through SLA management, performance monitoring, incident response, and capacity planning.
- Partner with Data Product Management on roadmap priorities, SLAs, and platform KPIs.
- Collaborate with software engineers to integrate streaming systems, APIs, and microservices into the broader data ecosystem.
- Communicate architectural tradeoffs, delivery risks, and operational constraints to stakeholders.
- Lead architectural reviews and establish long-term platform strategy.
- Foster ownership, documentation, and continuous improvement.
- Keep current with technology and industry trends in cloud data platforms, distributed systems, and AI data infrastructure.
- Hire, onboard, coach, mentor, retain, and manage the performance of engineers.
- Lead sprint planning, capacity modeling, roadmap sequencing, and prioritization across reliability, feature delivery, and technical debt.
- Establish engineering KPIs including reliability, latency, throughput, and deployment frequency.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) plan
- Life insurance coverage
- Disability benefits
- Tuition assistance program
- Paid time off (PTO)
- Bonus eligibility
- 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
- Employee engagement opportunities, including exclusive screenings and events, speaker series, and volunteer activities
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
