Sr. Data Science Engineer
Sr. Data Science Engineer
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Job Description
Our Company
Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.
Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!
Position Summary:
The Adobe Digital Imaging Data Science Team is looking for a seasoned Solutions Architect to lead the design and implementation of Adobe Experience Platform (AEP) solutions. This role bridges go-to-market (GTM) engineering and quality teams to translate business requirements into scalable technical solutions. Youll guide data architecture coordinate cross-functional execution and deliver measurable impact through Customer Journey Analytics (CJA). Join our innovative team and make an impact in the most exiting areas of Adobe!
Responsibilities:
Requirement Translation & Story Grooming
Partner with GTM partners to define business use cases
Translate requirements into actionable user stories and epics
Ensure alignment with project goals and sprint deliverables
Cross-Functional Collaboration
Provide technical specifications to client engineering and QA teams
Review test cases support validation and ensure smooth delivery
Facilitate communication across engineering QE and business functions
Data Engineering & AEP Configuration
Design and implement pipelines to ingest data from DPAAS into AEP
Configure AEP schemas datasets and set up baseline infrastructure
Align with DX product managers to ensure roadmap compatibility
Enablement & Adoption
Deliver end-user training and enablement for new AEP use cases
Provide hands-on support to ensure effective rollout and usage
Lead reporting setup in Customer Journey Analytics (CJA) to measure feature impact
Advisory & Best Practices
Act as a domain expert on Adobe Experience Cloud integration
Advise internal and external partners on architecture implementation and optimization
Offer guidance on API integrations data strategies and scalable personalization
Requirements:
10 years of experience in solution architecture technical product management or platform implementation within marketing or product analytics
Bachelors degree or equivalent experience in Computer Science Engineering Data Science or a related field
Proficient in Agile methodology backlog management and multi-functional coordination
Deep expertise in data engineering and architecture; experience with real-time data pipelines
Proficient in AEP Customer Journey Analytics and Adobe Journey Optimizer
Familiarity with REST APIs and real-time data exchange
Proficient in SQL; ability to derive insights from structured data
Comfortable with data visualization tools (e.g. Tableau Power BI Adobe Analytics)
Strong written and verbal communication skills; able to influence and lead discussions
Demonstrated experience collaborating with software engineers data architects and data scientists
Analytical mentality with a proactive approach to solving business and technical challenges
Curious adaptable and driven to stay on top of emerging technologies and trends
Adobe is proud to be anEqual Employment Opportunityemployer. 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 applicable characteristics protected by law.Learn more.
Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process emailor call .
Required Experience:
Senior IC
Employment Type
Full-Time
