Data Product Engineer

Adobe • San Jose, CA

1d

About The Position

Join Adobe as a Data Product Engineer on the Business Process Optimization team. This role operates much like a forward-deployed engineer, embedded with Finance and CAO partners, translating real business needs into production-grade data products, automation, and AI-enabled solutions.

Requirements

• 4-6 years of experience in data engineering, analytics engineering, software development, or another closely aligned technical domain
• Solid proficiency in SQL and at least one programming language, preferably Python
• Working knowledge of Spark and Spark SQL, with cloud platform experience on Azure (Azure Databricks preferred), including familiarity with medallion (bronze/silver/gold) architecture for structuring data lakehouse pipelines
• Proficient with Git-based development and CI/CD practices
• Experience with LLMs or intelligent development platforms, with the judgment to validate output quality
• Understanding of data lineage, governance, and audit requirements
• Understanding of SOX segregation-of-duties principles
• Business insight to turn ambiguous problems into clean, automated solutions
• Good communication skills to explain your work clearly to both technical and non-technical teammates
• Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Information Systems, or a related field

Nice To Haves

• Some exposure to RPA tooling (e.g., Power Automate) is a plus

Responsibilities

• Develop and build reliable data products, automated pipelines, and reusable interfaces for internal business teams
• Take an end-to-end, full-stack approach, extending beyond data pipelines into APIs, automation, and lightweight application development
• Build automation and intelligent solutions, including RPA workflows and AI/LLM-powered tools
• Maintain engineering ownership and segregation-of-duties controls over automation platforms (SnapLogic, Power Automate, PowerBuilder) supporting compliance-sensitive processes
• Help translate defined business requirements into technical implementation with a focus on the underlying business problem
• Apply modern engineering practices including Git-based source control, testing, CI/CD, code reviews, documentation, and monitoring
• Integrate and validate data from internal and external systems, ensuring data quality, security, lineage, and governance
• Deliver solutions with measurable business impact, tracked through metrics
• Use AI-assisted development tools to speed up engineering tasks, validating output quality

Benefits

• comprehensive benefits programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level