Data Architect, Product Modernization

Role overview

Design data architecture for enterprise modernization projects that move legacy analytics, content, and commerce environments to contemporary platforms. The role shapes end-to-end data foundations for digital experiences, bringing together strategy, modeling, integration, migration, and governance so organizations can support unified profiles, segmentation, journey orchestration, and activation.

Responsibilities

- Assess existing systems, data sources, processes, and platform maturity to establish a baseline and identify quality, governance, and technical debt issues. - Lead data discovery and unify information from areas such as sales, customer relationship management, analytics, content operations, and commerce. - Create conceptual, logical, and physical models, including schemas, event structures, identity relationships, and product or content data models. - Define ingestion and integration patterns for batch and streaming data, and work with engineers on ETL/ELT pipelines and migrations. - Map legacy structures to target platform schemas and analytics views, determining what to migrate, transform, or redesign. - Establish standards for data quality, security, privacy, governance, and compliance; document integration and reconciliation needs.

Requirements

- Experience architecting enterprise data solutions across analytics, content, commerce, and marketing use cases. - Strong data modeling skills across conceptual, logical, and physical layers. - Experience with data integration, APIs, batch and streaming ingestion, and large-scale data migration. - Ability to assess data quality, metadata, taxonomy, governance, and platform maturity. - Knowledge of privacy and security controls for regulated or sensitive data, including personally identifiable, payment, health, or European personal data where applicable. - Ability to collaborate with customers, platform specialists, and engineering teams to create scalable and secure designs.

Nice to have

- Experience with Adobe Experience Platform and related analytics, content, and commerce tools, as well as scripting or API testing tools.