Senior Data Architect for Customer Experience Orchestration

Adobe Inc.; San Jose (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

Adobe Inc. seeks a Senior Customer Experience Orchestration Data Architect to lead secure data solutions for its digital marketing platforms.

You will craft data strategy, architecture, SQL, and governance for customer solutions—covering end-to-end profiles, segmentation, journeys, and campaigns. Responsibilities include unifying data across sales, CRM, and analytics, designing multi-solution data models, and establishing data quality, security, and privacy frameworks.

Qualifications

• 10+ years of data architecture, modeling, SQL, and working with customers.
• Degree in Computer Science, Information Systems, Data Science, or related field or equivalent experience.
• Expert proficiency in crafting customer-centric database models and datasets across CRM, marketing, analytics data.

Responsibilities

• Lead development of advanced, secure data solutions for Adobe's digital marketing platforms.
• Unify disparate data to meet customer use cases and lead conceptual, logical, and physical data models.
• Establish data quality, governance, security, privacy, and compliance frameworks.
• Document architectural blueprints, ERDs, data dictionaries, and governance guardrails.
• Mentor customers and consultants on data architecture and scalable solutions.
• Develop data ingestion for streaming and batch processing and implement ETL/ELT pipelines.

Skills

Data architecture

Data modeling

SQL

Customer-facing engagements

Communication

Data governance

Education

Bachelor's degree in CS/IS/Data Science or related field

Tools

Postman

REST APIs

Python scripting

Bash scripting

Job description

Adobe Inc. seeks a Senior Customer Experience Orchestration Data Architect to lead secure data solutions for its digital marketing platforms.

You will craft data strategy, architecture, SQL, and governance for customer solutions—covering end-to-end profiles, segmentation, journeys, and campaigns. Responsibilities include unifying data across sales, CRM, and analytics, designing multi-solution data models, and establishing data quality, security, and privacy frameworks.