Adobe is changing the world through digital experiences. We help our customers create, deliver and optimize content and applications.
About the role
As a Senior Customer Experience Orchestration Data Architect at Adobe, you will lead the development of advanced, secure data solutions for our innovative digital marketing platforms. We craft data strategy, architecture, SQL and governance for customer solutions, including end-to-end profiles, segmentation, journeys, and campaigns!
What they're looking for
- Degree in Computer Science, Information Systems, Data Science, or a related field or equivalent experience
- 10+ years of data architecture, modeling, SQL, and working with customers!
- Advanced skills in SQL development (e.g., functions, data transformations, arrays, joins details, stored procedures, data analysis)
- Deep experience in t ranslating business requirements into scalable data architecture by conducting structured analysis of data workflows and processes
- Demonstrate outstanding organizational skills and ability to balance customer projects concurrently with strong verbal, written communication skills and previous experience with customer-facing engagements
More about this role
As a Senior Customer Experience Orchestration Data Architect at Adobe, you will lead the development of advanced, secure data solutions for our innovative digital marketing platforms. We craft data strategy, architecture, SQL and governance for customer solutions, including end-to-end profiles, segmentation, journeys, and campaigns!
- Provide deep experience to build data solutions across multiple Adobe products and cloud platforms aligned with enterprise data strategy.
- Engage closely with customers and Adobe team to facilitate data discovery by evaluating systems and business processes. Analyze customer sources, data movement, data granularity, relationships, data format, etc.
- Unify disparate data (e.g., sales, CRM, analytics data, etc.) to meet customers’ digital marketing use cases. Lead and develop conceptual, logical, and physical data models for multi-solution delivery.
- Establish frameworks for data quality, define standards, master data management, data services, data governance, data modeling, tools, data security, privacy, and compliance with industry regulations (PII, PCI, HIPAA, GDPR, etc.).
- We develop and champion data architecture guidelines via detailed...
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