Adobe is seeking a Data Engineer to join their Digital Media for Enterprise business team, focusing on Adobe's flagship Creative Cloud and Document Cloud solutions. This role offers an exciting opportunity to work with a $2B+ business unit, building critical data infrastructure. The ideal candidate will be responsible for ingesting data from various internal and external sources into a centralized data lake and creating application and analytics-specific data structures. Working closely with the Senior Manager of Data Engineering, you'll partner with the Business Intelligence team to develop dashboard and analytic solutions that provide vital insights to the Digital Media Enterprise Sales and Post-Sales teams.
The role combines technical expertise in data engineering with business impact, requiring strong skills in data transformation, pipeline development, and system architecture. You'll work in an environment that values innovation and creative problem-solving, with the opportunity to influence how Adobe delivers digital experiences to its enterprise customers.
Key technical aspects include working with distributed platforms, developing fault-tolerant data infrastructure, and creating efficient data ingestion processes. The position offers exposure to cutting-edge technologies like Databricks, Snaplogic, and Amazon cloud technologies, with opportunities to work on ML/AI applications.
Adobe provides an exceptional work environment, consistently recognized through "best places to work" awards. You'll join a team of creative, analytical, and authentic professionals who are passionate about transforming how companies interact with customers across every screen. The company is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunities.
This role represents a unique opportunity to impact Adobe's enterprise business while working with some of the most advanced data technologies in the industry. The position combines technical challenges with business impact, making it ideal for a data engineer who wants to work at the intersection of technology and business transformation.