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.
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists (http://www.adobe.com/careers/awards.html). You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In (http://www.youtube.com/watch?v=hmL6uQZhYhw&list=UUlDSu3-Y4-BfI08784K-P4g&feature=share&index=1) approach where ongoing feedback flows freely.
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.
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 advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
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AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
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.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.