Sr Data Solution Engineer

The Digital Transformation and Data Intelligence team is looking for a Senior Data Solutions Engineer. This role will build scalable data products, automation, and AI-enabled solutions that improve how CAO teams operate. This senior individual contributor role requires deep data engineering expertise and strong product thinking. The candidate can turn ambiguous business problems into practical, production-ready solutions. The foundation of the role is data engineering, but the scope extends into APIs, automation workflows, AI-enabled capabilities, and lightweight applications that help teams make better decisions, reduce manual work, and unlock value from data. You will partner with business collaborators, analysts, program leaders, architects, and engineers to translate business needs into scalable solutions. You will also help improve the team’s engineering standards and encourage adoption of modern development practices.

Develop, build, and support data solutions that scale efficiently, including data streams, schemas, interfaces, and automation workflows. Translate ambiguous business requirements into clear technical solutions and delivery plans. Build automation and intelligent solutions that improve data quality, reduce manual effort, and increase operational capacity. Apply modern engineering practices, including source control, testing, CI/CD, code reviews, documentation, monitoring, and production support. Evaluate, integrate, and optimize data from internal and external systems. Contribute to reusable patterns, engineering standards, and technical direction for data products. Mentor engineers, review designs and code, and help the team effectively use AI-assisted development tools. What you need to succeed 7+ years of experience in data engineering, analytics engineering, software engineering, automation engineering, or a related technical field. Strong proficiency in SQL and Python, with experience building reliable data pipelines, data models, APIs, and automated workflows. Experience with cloud data platforms, data warehouses, orchestration tools, Git-based development, and CI/CD practices. Ability to lead complex technical initiatives across multiple systems, partners, and business domains. Strong understanding of data quality, governance, security, access controls, and production reliability. Experience using LLMs or AI-assisted development tools to accelerate engineering work while validating outputs and maintaining quality standards. Strong communication skills, with the ability to explain technical concepts and tradeoffs to technical and non-technical audiences. Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, Information Systems, a related field, or equivalent practical experience. 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