Not specified (assumed hybrid based on industry trends).
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, focusing on building a streaming-first, self-healing infrastructure for data processing and AI workflows. The ideal candidate will have extensive experience in data platform engineering, particularly with distributed systems and agentic AI frameworks
Job Summary
This role focuses on building the foundational infrastructure that enables AI, analytics, and autonomous agents at scale rather than developing ML models.
The team is evolving a billion-event-per-day system into a streaming-first, self-healing, agent-ready Lakehouse to collapse pipeline latency from hours to minutes.
Candidates are expected to default to an agentic-first approach, treating every repetitive workflow as a target for autonomous replacement.
Matching Summary
Match Score: 85
Adobe is seeking a Senior AI Data Platform Engineer to enhance their Adobe Express Data Platform, focusing on building a streaming-first, self-healing infrastructure for data processing and AI workflows. The ideal candidate will have extensive experience in data platform engineering, particularly with distributed systems and agentic AI frameworks.
Salary
Base: $159,200 - $301,600 annually (US); Base: $208,300 - $301,600 annually (California); Short-term incentives in form of 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
Production LLM integration and prompt engineering
Nice-to-have
Java or Go programming language skills
LangChain LangGraph CrewAI framework experience
MCP A2A protocol understanding
Vector database RAG architecture familiarity
Unity Catalog DataHub metadata systems exposure
Agentic-first mindset and challenger mentality
Experience with AI-powered developer tools
Key Requirements
6+ years in data platform engineering or distributed systems
BS/MS in Computer Science or equivalent practical experience