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Senior Data Engineer

Senior Data Engineer

Amadeus SearchSan Francisco, CA, United States
4 days ago
Job type
  • Full-time
Job description

Job Title : Senior Data Infrastructure Engineer - Real-Time Systems

Location : On-site, Hillsborough, CA

Compensation : $180k-$200k base + ~$300k-$400k in equity over 4 years

Visa Sponsorship : Available (O-1, H-1B, etc.)

Start Date : ASAP

Work Policy : In-person, 5 days / week

About the Role

We're looking for a hands-on, senior-level Data Infrastructure Engineer to architect and manage the real-time data systems that power an AI-driven storytelling platform. This is a ground-floor opportunity to help scale core infrastructure for a well-funded startup focused on democratizing creative expression through advanced generative AI.

You'll work side by side with product, AI, and engineering teams in a high-trust, high-collaboration environment to solve challenging data problems that directly impact user experience and content intelligence.

What You'll Do

  • Design, build, and maintain large-scale real-time data pipelines and streaming systems
  • Architect fault-tolerant, low-latency infrastructure for high-throughput use cases such as user telemetry, A / V data, and content analytics
  • Own the full data stack-from ingestion to transformation, monitoring, and visualization
  • Collaborate cross-functionally to inform product and AI features with reliable, actionable data
  • Optimize for reliability, scale, and observability across all critical data paths

Ideal Background

  • 5-10 years of experience in data engineering or infrastructure roles
  • Strong foundation in streaming technologies such as AWS Kinesis, SQS, or Kafka
  • Experience with modern data stacks : Redshift or Snowflake, Dagster or Airflow, Prometheus, Grafana, OpenTelemetry
  • Fluent in Python and SQL; PostgreSQL experience preferred
  • Prior experience in fast-moving startups, especially those working with real-time data or consumer-facing AI features
  • Comfortable working in a highly collaborative, on-site team environment

    • Preferred Experience

  • Ownership of streaming data systems in production
  • Consumer platform experience (especially involving audio, video, or generative media)
  • Containerized environments with Docker and Kubernetes
  • Strong instincts around data quality, security, and performance

    • About the Company

    Our platform enables users to generate cinematic short-form video and transmedia experiences with ease, using state-of-the-art generative AI. Backed by top-tier investors with $8.5M in funding, our 30-person team is building a new category in media creation-one that prioritizes imagination, co-creation, and scalability.

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