Senior Ai Data Platform Engineer

Adobe

Base: $159,200 - $301,600 annually (us); base: $20...
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6+ years data platform engineering experience
Apache spark databricks delta lake expertise
Streaming systems kafka flink kinesis proficiency
** Adobe is seeking a Senior AI Data Platform Engineer to enhance their Adobe Express Data Platform, which serves millions of creators. The role emphasizes building foundational infrastructure for AI and analytics, focusing on real-time data processing and automation. **

Job Summary

  • The role focuses on evolving a billion-event-per-day system into a streaming-first, self-healing, agent-ready Lakehouse that powers personalization and AI workflows.
  • Engineers will build foundational infrastructure including low-latency online feature serving and MCP-compatible Agent Data APIs to enable autonomous AI systems.
  • The team champions an agentic-first mindset where manual workflows are replaced by automated agents to collapse pipeline latency from hours to minutes.

Matching Summary

Match Score: 75

** Adobe is seeking a Senior AI Data Platform Engineer to enhance their Adobe Express Data Platform, which serves millions of creators. The role emphasizes building foundational infrastructure for AI and analytics, focusing on real-time data processing and automation. **

Salary

Base: $159,200 - $301,600 annually (US); Base: $208,300 - $301,600 (California); Short-term incentives in Annual Incentive Plan; Equity awards may be eligible

Skills & Requirements

Must-have

  • 6+ years data platform engineering experience
  • Apache Spark Databricks Delta Lake expertise
  • Streaming systems Kafka Flink Kinesis proficiency
  • Python Scala SQL fluency required
  • AWS or Azure cloud platform experience
  • Docker Kubernetes containerization knowledge
  • ML Feature Store online serving capabilities

Nice-to-have

  • Java or Go programming language skills
  • LangChain LangGraph AutoGen framework experience
  • MCP A2A protocol understanding
  • Vector database RAG architecture familiarity
  • AI-powered developer tool usage
  • Open-source infrastructure contributions
  • Adobe-native analytics solutions knowledge

Key Requirements

  • 6+ years in distributed systems or backend infrastructure
  • BS/MS in Computer Science or equivalent practical experience
  • Production experience integrating LLMs into engineering workflows

Work Rights

Not specified

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