Senior Manager, Data Engineering

🔥 3 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $157k - $235k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Paramount

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1912

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Paramount is a global multimedia entertainment and news company that offers a range of services including direct-to-consumer digital subscription video on-demand and live streaming through Paramount+. It also owns Pluto TV, a leading free streaming television service, MTV, the world’s premier youth entertainment brand, and CBS Sports, a leader in television sports broadcasts. Paramount Pictures, since 1912, has been a legendary producer and distributor of films, hosting a library of over 1,000 titles. The company is deeply committed to inclusion and impact, focusing on diversity, global sustainability, and content that affects change. Being a significant player in both live and on-demand streaming services, Paramount embraces a wide array of content from sports to kids’ entertainment, comedy, and groundbreaking documentaries, impacting both linear and streaming platforms globally.

📋 Description

• Lead the strategy, design, delivery, and operational excellence of large-scale batch and real-time data platforms • Manage and develop data engineering teams 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 • Foster operational excellence, accountability, continuous improvement, technical ownership, documentation, and collaboration • Guide scalable data modeling and efficient query performance across analytical workloads • Help make architectural decisions involving orchestration, schema evolution, partitioning strategies, and storage optimization • Align batch and real-time data patterns into cohesive platform designs • Manage SLAs, monitor performance, respond to incidents, and plan capacity • 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 • Explain architectural tradeoffs, delivery risks, and operational constraints to stakeholders • Lead architectural reviews and drive long-term platform strategy • Stay current with cloud data platforms, distributed systems, and AI data infrastructure technologies

🎯 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 related field; advanced degree preferred • 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 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 performance management abilities • 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

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) plan • Life insurance coverage • Disability benefits • Tuition assistance program • PTO / generous paid time off • Bonus eligibility • Complimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products • Exclusive screenings and events • Speaker series • Volunteer activities • Reasonable accommodation during the job application and/or recruitment process