principal Data Engineer tech_leadership 10+ yrs Bachelor's · Posted Mar 16, 2026
$159,200 – $301,600
USD per year

About this role

Adobe is hiring a principal-level Data Engineer based in San Jose, CA. The posting calls out experience with Python, Express, AWS, Kubernetes and roughly 10+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $159,200–$301,600 per year.

Role
Data Engineer
Function
data engineering
Level
principal
Track
Tech leadership
Employment
Full-time
Location
San Jose, CA
Experience
10+ years
Education
Bachelor's degree
Department
Design
Posted
Mar 16, 2026
AI Summary
Principal-level Data Engineer building scalable AWS-based data integrations and AI agent systems for Adobe's enterprise customers. Requires 10+ years data engineering with Python/PySpark, AWS certification, and 2+ years with AI/ML services like SageMaker and Bedrock. Design and deploy autonomous data pipelines and LLM-based solutions.

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Job description

from Adobe careers

Adobe Customer Solutions is looking for a full time Data & AI Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for Adobe’s Customer Experience Orchestration enterprise customers.

Customer-facing Engineers who excel at solving complex technical challenges, delighting customers, and driving agent-based automation in a collaborative environment will thrive here. If you have a strong foundation in Data Engineering, building scalable API based integrations and are passionate about architecting autonomous AI systems—including LLM agents and intelligent automation—this is your ideal next step.

What you’ll do

· Collaborate with Data architects, Enterprise architects, Solution consultants and Product engineering teams to capture customer data integration requirements, conceptualize solutions & build required technology stack

· Collaborate with enterprise customer's engineering team to identify data sources, profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating customer data sources and third party data sources with Adobe solutions

· Develop new features and improve existing data integrations with customer data ecosystem

· Encourage team to think out-of-the-box and overcome engineering obstacles while incorporating new innovative design principles.

· Collaborate with a Project Manager to bill and forecast time for customer solutions

This is an excerpt. Read the full job description on Adobe careers →
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