Senior Ai Data Platform Engineer

Adobe

Base: $159,200 - $301,600 annually; california: $2...
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6+ years data platform engineering experience
Apache spark databricks delta lake expertise
Streaming systems kafka flink or kinesis
** Adobe is seeking a Senior AI Data Platform Engineer to enhance its Adobe Express Data Platform, focusing on building foundational infrastructure for AI and analytics. The role emphasizes designing advanced data pipelines and promoting automation while fostering a culture of rapid iteration and operational excellence. **

Job Summary

  • This role focuses on building the foundational infrastructure that enables AI, analytics, and autonomous agents at scale rather than building ML models directly.
  • The team is evolving a billion-event-per-day system into a streaming-first, self-healing, agent-ready Lakehouse with a motto to make the platform simpler, faster, and more reliable.
  • Candidates are expected to default to an agentic-first approach, treating every manual workflow as a candidate for autonomous replacement using tools like Claude Code or GitHub Copilot.

Matching Summary

Match Score: 75

** Adobe is seeking a Senior AI Data Platform Engineer to enhance its Adobe Express Data Platform, focusing on building foundational infrastructure for AI and analytics. The role emphasizes designing advanced data pipelines and promoting automation while fostering a culture of rapid iteration and operational excellence. **

Salary

Base: $159,200 - $301,600 annually; California: $208,300 - $301,600; Short-term incentives via Annual Incentive Plan; Long-term equity awards eligible

Skills & Requirements

Must-have

  • 6+ years data platform engineering experience
  • Apache Spark Databricks Delta Lake expertise
  • Streaming systems Kafka Flink or Kinesis
  • Python Scala SQL fluency required
  • AWS or Azure cloud platform proficiency
  • Production LLM integration and prompt engineering
  • Agentic AI frameworks LangChain or AutoGen

Nice-to-have

  • Java or Go programming language skills
  • Experience with RAG architectures and vector DBs
  • Familiarity with semantic layers and knowledge graphs
  • Adobe-native data solutions CJA AEP knowledge
  • Open-source contributions to data infrastructure
  • Challenger mentality questioning inherited architecture
  • Bias for action shipping iteratively

Key Requirements

  • 6+ years of experience in data platform engineering
  • Deep hands-on experience with lakehouse technologies
  • BS/MS in Computer Science or equivalent practical experience
  • Proven track record with sub-hour latency SLAs

Work Rights

Not specified

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