Adobe

Principal Data Engineer, AI

Adobe

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaTexasUnited States

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Salary

💰 $159,200 - $301,600 per year

Job Level

About the role

  • 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
  • Develop and improve features that incorporate LLMs, AI agents, and/or multi-agent orchestration for dynamic data integration, workflow automation, and real-time business value.

Requirements

  • Experience as an enterprise Data Engineer from a consulting background
  • AWS Certified Data Engineer – Associate or AWS Certified Cloud Practitioner
  • 10+ years experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS
  • 10+ years experience in Python programming language preferably using PySpark
  • Software development experience working with Apache Airflow, MongoDB, MySQL
  • 4+ years working with AWS AI/ML and agentic services such as SageMaker, Bedrock, Vector databases (OpenSearch, Pinecone)
  • Demonstrated experience (or significant exposure) designing, integrating, and scaling agentic AI systems
  • Strong capacity to manage numerous projects are a must
  • Experience using Docker or Kubernetes is a plus
  • BS/MS degree in Computer Science or equivalent industry experience
  • Ability to identify and resolve problems associated with production grade large scale data processing workflows
  • Excellent communication skills.
Benefits
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data integrationdata pipelinesPythonPySparkApache AirflowMongoDBMySQLAWS AI/MLSageMakerDocker
Soft Skills
collaborationproblem-solvingproject managementcommunicationinnovative thinking
Certifications
AWS Certified Data Engineer – AssociateAWS Certified Cloud Practitioner