Be a part of Adobe's Experience Platform; our fasting growing business in the Experience Cloud! The Adobe Experience Platform handles petabytes of data on behalf of organizations allowing them to have a centralized and standardized data platform applying data science and machine learning (ML) to spectacularly improve the design and delivery of rich, personalized experiences. The core of the Experience Cloud is the Query Service engine, a multi-tenant cloud-native reporting platform that allows our customers to query data, run advanced analytics, and apply ML techniques to generate predictive metrics against petabytes of data. This results in our customers being able to derive significant insights into the data. We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners.
What you need to succeed:- Serve as a Sr. Engineer working with architects to drive initiatives from end to end.
- Proficiency in Apache Spark, Spark ML, Spark internals and able to extend Spark code base for analytical needs.
- Required: Proficiency in data structures and algorithms in Scala/Java/Akka framework
- Proven knowledge in developing, deploying, highly available, SaaS applications and services in public cloud.
- Proficiency in big-data engineering and cloud-based data warehouse.
- In depth experience with No-SQL as well as RDBMS/Data warehouse, data sharing and federation
- Cost consciousness around computation and memory requirements
- Strong verbal and written communication skills
- Bachelor's Degree in Computer Science with 7 years experiences or MS/Ph.D Degree in Compute Science or relevant field with 5+ year experiences.
- Plus: LLM/vertical LLM for improving in product intelligence (SQL rewriting, anomalies, forecasting and more)
What you'll do- Own the technical design/architecture, vision and implementation strategy for major systems & components of the Adobe Experience Cloud data platform focused on distributed Query Engine.
- Build/code/test and own critical parts of the services to run at scale.
- Ability to articulate the design and code choices to multi-functional and architecture teams.
- Reviewing and providing feedback on features, technology, architecture, designs, and test strategies
- Mitigating risks & creative problem solving
- Developing and evolving engineering to optimize team efficiency.
- Partner with other teams across Adobe for achieving common goals.
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 $139,000 -- $257,550 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 $177,900 - $257,550
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.
