
Senior Manager, Data Engineering
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in California, +3 more states.
• Lead and cultivate a team of data engineers tasked with managing batch and streaming data systems.
• Spearhead technical execution throughout the ingestion, transformation, modeling, and serving layers.
• Set engineering standards, maintain code quality practices, and implement architectural review processes.
• Provide mentorship to engineers in areas such as distributed systems design, performance optimization, and production reliability.
• Ensure the implementation of scalable data modeling standards and optimized query performance for analytical workloads.
• Direct architectural decisions concerning orchestration, schema evolution, partitioning strategies, and storage optimization.
• Collaborate with streaming engineers to synchronize batch and real-time data patterns.
• Align roadmap priorities, SLAs, and platform KPIs with Data Product Management.
• Work closely with software engineers to integrate streaming systems, APIs, and microservices.
• Articulate architectural trade-offs, delivery risks, and operational constraints to relevant stakeholders.
• Lead architectural reviews and shape the long-term platform strategy.
• Promote ownership, documentation, and ongoing improvement within the team.
• Extensive expertise in data lakes, warehouses, and lakehouse architectures.
• In-depth knowledge of ETL/ELT frameworks, orchestration platforms, and distributed data processing systems.
• Strong understanding of Kafka-based architectures and event-driven data patterns.
• Demonstrated experience in hiring, onboarding, and retaining top-performing engineers across diverse seniority levels.
• Proficient in sprint planning, capacity modeling, and roadmap sequencing.
• Capable of managing competing priorities related to reliability, feature delivery, and technical debt reduction.
• Experience in establishing engineering KPIs such as reliability, latency, throughput, and deployment frequency.
• Proven track record of leading engineering teams that deliver large-scale production data platforms.
• Strong foundation in distributed systems engineering and cloud-native architecture.
• Excellent communication and cross-functional collaboration abilities.
• Self-driven, quality-oriented, and dedicated to engineering excellence and operational discipline.
• 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.
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