Senior Manager, Data Engineering

Paramount

. Lead and develop a team of data engineers responsible for batch and streaming data systems .

Posted 10/26/2026full-timeRemote • United StatesSenior💰 $157,000 - $235,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong expertise in data lakes, warehouses, and lakehouse architectures, alongside a solid foundation in distributed systems engineering and cloud-native architecture. Proven ability to lead engineering teams in delivering large-scale production data platforms while ensuring high standards of code quality and performance optimization.

Highest-signal resume keywords

Data Lakes ArchitectureETL/ELT FrameworksKafka-Based ArchitecturesDistributed Systems EngineeringEngineering KPIs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data WarehousesLakehouse ArchitecturesOrchestration PlatformsDistributed Data ProcessingPerformance OptimizationData Modeling StandardsStreaming Data SystemsAPIs IntegrationMicroservicesTechnical Debt Reduction

Soft Skills

CommunicationCross-Functional CollaborationMentoringSelf-MotivatedQuality-Focused

Industry Keywords

Batch Data SystemsStreaming Data SystemsArchitectural Review ProcessesOperational DisciplineContinuous Improvement

Tech Stack

Tools & technologies

CloudDistributed SystemsETLKafkaMicroservices

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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