
Senior Data Architect
Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re 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!
Data Architect – AEP Competency
Position Summary
Experienced data modelers, SQL, ETL, with some development background to provide defining new data schemas, data ingestion for Adobe Experience Platform customers. Interface directly with enterprise customers and collaborate with internal teams.
What you’ll do
- • Interface with Adobe customers to gather requirements, design solutions & make recommendations
- • Lead customer project conference calls or interface with a Project Manager
- • Deliver Technical Specifications documents for customer review
- • Strong collaboration with team software engineer consultants onshore & offshore
- • Leverage understanding of data relationships and schemas to structure data to allow clients to perform dynamic customer-level analysis
- • Construct processes to build Customer ID mapping files for use in building 360 degree view of customer across data sources.
- • Leverage scripting languages to automate key processes governing data movement, cleansing, and processing activities
- • Bill & forecast time toward customer projects
- • Innovate on new ideas to solve customer needs
Requirements
- • 10+ years of strong experience with data transformation & ETL on large data sets
- • Experience with designing customer centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale etc.)
- • 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data)
- • 5+ years of complex SQL or NoSQL experience
- • Experience in advanced Data Warehouse concepts
- • Experience in industry ETL tools (i.e., Informatica, Unifi)
- • Experience with Business Requirements definition and management, structured analysis, process design, use case documentation
- • Experience with Reporting Technologies (i.e., Tableau, PowerBI)
- • Experience in professional software development
- • Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects
- • Strong verbal & written communication skills to interface with Sales team & lead customers to successful outcome
- • Must be self-managed, proactive and customer focused
- • Degree in Computer Science, Information Systems, Data Science, or related field
Special Consideration given for
- • Experience & knowledge with Adobe Experience Cloud solutions
- • Experience & knowledge with Digital Analytics or Digital Marketing
- • Experience in programming languages (Python, Java, or Bash scripting)
- • Experience with Big Data technologies (i.e., Hadoop, Spark, Redshift, Snowflake, Hive, Pig etc.)
- • Experience as an enterprise technical or engineer consultant
Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com 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, email accommodations@adobe.com or call (408) 536-3015.
Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
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