Data Engineering Lead — Scalable Platforms & Real-Time Data

Paramount Pictures; New York (NY); On-site; USD 139,200 - 208,800; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Life insurance

Disability benefits

Tuition assistance

Paid time off

On-site and virtual engagement events

Job summary

Paramount Streaming, a division within Paramount Global, is seeking a Data Engineering Manager to lead the design, delivery, and operational excellence of large-scale batch and real-time data platforms. This role oversees high-performance data engineering teams powering analytics, APIs, AI workflows, and mission-critical data services across the organization.

You will guide the design and execution of distributed data systems, ETL/ELT pipelines, streaming platforms, and cloud-native

Qualifications

• Proven experience leading engineering teams delivering large-scale production data platforms.
• Strong foundation in distributed systems engineering and cloud-native architecture.
• Excellent communication and cross-team collaboration.
• Self-motivated with a commitment to engineering excellence and operational discipline.

Responsibilities

• Lead and scale data engineering teams for batch and streaming systems.
• Drive ingestion, transformation, modeling, and serving layers.
• Establish engineering standards, code quality practices, and architectural reviews.
• Mentor engineers in distributed systems design, performance, and reliability.
• Collaborate with Data Product Management to align roadmaps, SLAs, and KPIs.
• Communicate architectural tradeoffs and delivery risks to stakeholders.

Skills

Data lakes

Warehouses

Lakehouse

ETL/ELT

Orchestration

Distributed systems

Kafka

Cloud-native

Leadership

Sprinting planning

Tools

AWS

Spark

Airflow

Job description

Paramount Streaming, a division within Paramount Global, is seeking a Data Engineering Manager to lead the design, delivery, and operational excellence of large-scale batch and real-time data platforms. This role oversees high-performance data engineering teams powering analytics, APIs, AI workflows, and mission-critical data services across the organization.

You will guide the design and execution of distributed data systems, ETL/ELT pipelines, streaming platforms, and cloud-native