Senior Manager, Data Engineering

🔥 0 minutes ago

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $157k - $235k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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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 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 • Ensure scalable data modeling standards and efficient query performance across analytical workloads • Guide architecture decisions involving orchestration, schema evolution, partitioning strategies, and storage optimization • Partner with streaming engineers to align batch and real-time data patterns • Align roadmap priorities, SLAs, and platform KPIs with Data Product Management • Collaborate with software engineers to integrate streaming systems, APIs, and microservices • Communicate architectural tradeoffs, delivery risks, and operational constraints to stakeholders • Lead architectural reviews and drive long-term platform strategy • Foster ownership, documentation, and continuous improvement across the team

🎯 Requirements

• 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 • Proven experience hiring, onboarding, and retaining high-performing engineers across varying seniority levels • 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 • Proven experience leading engineering teams delivering large-scale production data platforms • Strong foundation in distributed systems engineering and cloud-native architecture • Strong communication and cross-functional collaboration skills • 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 • 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 • Reasonable accommodations during the job application and/or recruitment process