Adobe Experience Platform (AEP) is a powerful customer experience management platform that allows businesses to collect, manage, and activate customer data to deliver personalized experiences. AEP integrates seamlessly with our core services, improving our capabilities in real-time data processing, decisioning, and customer journey optimization. Familiarity with AEP will be highly beneficial as it underpins many of our newest capabilities across Adobe products.
Join our diverse team responsible for delivering a rationalized set of core services built on top of the data layer. We focus on foundational elements such as Identity Graphs, Profile, Segmentation, and edge components for real-time data capture and decisioning. Our goal is to lay the groundwork for higher-level services crucial for our Experience Business vision. You will work on high-traffic, high-visibility applications, handling immense amounts of data and solving ambitious scaling problems.
Join us if you love working with Big Data technologies and want to push the boundaries of innovation!
What You'll Do- Integrate and improve Big Data tools and frameworks to provide requested capabilities.
- Develop and deploy critical parts of the services and deliver them to production.
- Articulate the choice of accurate tools and technologies.
- Translate high-level requirements into meaningful tasks and actions.
- Optimize distributed microservices and Spark applications to reduce cost and enhance availability.
- Lead sophisticated, large-scale projects in an Agile environment using Java, Jenkins, and Spark.
- Collaborate with multi-functional specialists (Product Management, Design, Engineering, etc.) to launch customer-focused solutions.
- Communicate clearly with leadership to define goals.
- Market ideas across teams and organizations.
- Be a technical leader with the ability and desire to mentor other team members.
- Promote a culture of continuous learning.
What You Need to Succeed• Bachelor's Degree or equivalent experience.
• 10+ years of industry software development experience.
• Hands-on experience with open-source technologies such as Spark, Hadoop Stack, and Kafka.
• Proven record of delivering highly optimized code in Scala/Java.
• Understanding of file formats like Apache Parquet and table formats such as
Databricks Delta, Apache Iceberg, or Apache Hudi is preferred
• Proficiency in data structures and algorithms.
• Proven expertise in Java, OOP principles, clean design, and design patterns.
• Deep understanding of modern cloud technologies and design patterns for building "always-up" services.
• Strong analytical and problem-solving skills.
• Strong interpersonal and communication skills.
• Unending curiosity, thoroughness, tenacity, and focus on quickly designing and building sophisticated software systems with great quality to solve customer problems.
• Experience with Containers and CI/CD systems like Argo CD and GitOps.
• Experience with other Big Data tech stacks.
• Experience with CDP and Generative AI is a plus.
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 $159,200 -- $301,600 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 $208,300 - $301,600
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.
