Data Engineering Manager

🕒 July 31

🗽 New York – Remote

🗽 New York – Remote

💵 $139.2k - $208.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

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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

• 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. • Ensure scalable data modeling standards and efficient query performance across analytical workloads. • Guide decisions about architecture including orchestration and schema evolution, partitioning strategies, and storage optimization. • Partner with streaming engineers to align batch and real-time data patterns into cohesive platform designs. • 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 and share delivery risks and operational constraints. • Lead architectural reviews and drive long-term platform strategy. • Foster a culture of ownership, documentation, and continuous improvement.

🎯 Requirements

• Proven experience leading engineering teams delivering large-scale production data platforms. • Strong foundation in distributed systems engineering and cloud-native 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. • Proven experience hiring, onboarding, and retaining high-performing engineers across varying seniority levels. • Commitment to building an inclusive, collaborative, and accountable team 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. • Great communication skills. • Self-motivated. Focus on quality.

🏖️ Benefits

• medical • dental • vision • 401(k) plan • life insurance coverage • disability benefits • tuition assistance program • PTO • bonus eligible