Data Product Engineer

Adobe

San Jose (CA)

On-site

USD 120,000 - 175,000

Full time

24 hours ago
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Job summary

Adobe is seeking a Data Product Engineer on the Business Process Optimization team in California. The role embeds with Finance and CAO partners to translate business needs into production-grade data products, automation, and AI-enabled solutions.

You’ll own end-to-end development, building reliable data products and automated pipelines, while applying modern engineering practices and governance across data flows. Strong SQL, Python, and Spark experience are required.

Qualifications

  • 4–6 years of experience in data engineering, analytics engineering, software development, or closely related technical domain.
  • Strong SQL and Python proficiency.
  • Experience with Spark and Azure Databricks, including medallion architecture for lakehouse pipelines.
  • Exposure to RPA tooling such as Power Automate is a plus.
  • Proficient with Git-based development and CI/CD practices.
  • Experience with LLMs or intelligent development platforms and validating outputs.
  • Understanding of data lineage, governance, and SOX segregation of duties.

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 and lightweight applications.
  • Build automation and AI-enabled solutions, including RPA workflows and AI tools.
  • Maintain ownership and segregation-of-duties controls over automation platforms (e.g., SnapLogic, Power Automate, PowerBuilder).
  • Translate business requirements into technical implementation with a focus on the underlying business problem.
  • Apply modern engineering practices including Git, testing, CI/CD, code reviews, documentation, and monitoring.
  • Integrate and validate data from internal and external systems with emphasis on quality, security, lineage, and governance.
  • Deliver solutions with measurable business impact, tracked via metrics.
  • Use AI-assisted development tools to speed up engineering tasks and validate output.

Skills

SQL
Python
LLMs
Data governance
Communication
Business insight
SOX compliance

Education

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Spark
Azure Databricks
Power Automate
Git
CI/CD
LLM platforms

Job description

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.

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
About Adobe

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 GenStudio 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 discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com.

AI Use Guidelines for Interviews

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

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

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices
California
Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado
Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts
Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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