Senior Data Engineer - Data Products & AI

Adobe • Lehi, UT

3d

About The Position

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe is looking for a Senior Data Engineer - Data Products & AI to join our Adobe Unified Platform team, where you will play a key role in advancing data engineering, data warehousing, and AI innovation. This position offers the chance to collaborate with multi-functional teams, including Solution Architects, Product Managers, and engineers across global locations, to deliver impactful solutions aligned with Adobe’s strategic goals. We are seeking a driven individual who thrives on solving complex challenges, mentoring peers, and pushing the boundaries of technology to shape the future of Adobe’s data and AI capabilities.

Requirements

• A Bachelor’s degree in Computer Science, Engineering, or a related field, with 10+ years of experience in data engineering and software development.
• Proven expertise in designing and deploying scalable data solutions using SQL and Python, with a focus on automation, data transformation, and advanced analytics.
• In-depth knowledge of data architecture, including data modeling, warehousing principles, and the development of efficient data transformation pipelines.
• Extensive experience with modern data platforms and tools, particularly Databricks, Azure, and Airflow, with a demonstrated ability to harness their full capabilities.
• Exceptional problem-solving skills, a critical perspective, and the ability to challenge conventional approaches to drive innovation.
• Ability to quickly acquire new skills and apply them to solve challenging problems.
• Knowledge of standard engineering productivity tools such as GitHub, JIRA, Confluence, etc.
• Outstanding communication and collaboration skills, with a passion for mentoring and fostering a culture of creativity and excellence.

Nice To Haves

• Experience using AI tools (e.g. Cursor) to more efficiently build production-worthy applications and data pipelines.
• Experience building conversational and workflow automation AI agents in production environments.

Responsibilities

• Build data products that are optimized for both human and AI consumption, ensuring seamless usability, accessibility, and integration across diverse workflows.
• Drive the implementation of innovative data warehousing strategies, ensuring efficient data storage, retrieval, and transformation processes.
• Architect and optimize scalable data pipelines and models to handle the exponential growth of data and analytics needs.
• Lead the design and development of robust software solutions, ensuring high-quality code, thorough testing, and comprehensive documentation.
• Spearhead initiatives to enhance developer productivity and streamline engineering workflows through innovative automation and AI-powered solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees