Data Product Engineer

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.

• 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 (Snap Logic, Power Automate, Power Builder) 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

• 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

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and Gen Studio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth.

We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact.

Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not…