Data Product Engineer

The Opportunity

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.

What you'll do

• 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

What you need to succeed

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

Expected Pay Range

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $84,000 - $175,050 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $120,900 - $175,050