About the role
Position Overview
The Data Architect leads the design and delivery of secure, scalable data architectures that support enterprise digital marketing and customer experience solutions. The role defines data strategy, data models, SQL-based solutions, and governance practices to unify customer information across Adobe platforms and cloud environments, enabling trusted profiles, segmentation, journeys, and campaigns.
Working closely with clients, data engineers, and cross-functional teams, this consultant evaluates source systems and data flows, designs ingestion and integration approaches, and guides implementation of Adobe Experience Platform (AEP) capabilities. The role also supports performance optimization, large-scale data migration, data quality, security, and regulatory compliance.
Location: Remote - United States Please note this is a contract role.
Key Responsibilities Data Strategy, Architecture & Modeling * Design secure, scalable data solutions across Adobe products and cloud platforms, aligned with enterprise data strategy and client business objectives. * Lead customer data discovery, assessing source systems, business processes, data movement, granularity, relationships, and formats. * Unify sales, CRM, analytics, and other customer data; develop conceptual, logical, and physical data models for multi-solution delivery. * Define strategic data architecture blueprints and collaborate with cross-disciplinary teams to resolve technical challenges and integration constraints.
Data Governance, Security & Quality * Apply standards and frameworks for data quality, master data management, data services, governance, modeling, security, and privacy. * Address applicable regulatory and sensitive-data requirements, including PII, PCI, HIPAA, and GDPR considerations. * Ensure solutions follow platform guardrails and support growing data volumes, tools, and integration needs.
Adobe Experience Platform & Data Integration * Build Adobe platform data lake and real-time customer profile foundations to support ingestion and activation. * Design batch and streaming ingestion for online and offline data in AEP, partnering with data engineers on ETL/ELT collection and extraction pipelines. * Use REST APIs, Postman, and scripting to automate implementation and configuration activities. * Optimize query performance and model design across platforms, following technical guidelines and product constraints. * Plan and drive large-scale data migration, transformation, and modernization while protecting data quality, integrity, and compliance.
Required Skills & Experience Data Architecture & Technical Expertise * 10+ years of experience in data architecture, data modeling, SQL, and customer-facing work. * Expertise designing customer-centric database models and datasets spanning CRM, call center, marketing, offline, point-of-sale, and related systems. * Strong knowledge of relational and hierarchical data approaches, including RDBMS, columnar systems, data warehouses, BI, document and semantic models, data lakes, and OLTP/OLAP. * Advanced SQL development skills, including functions, transformations, arrays, joins, stored procedures, and data analysis. * Experience translating business requirements and data workflows into scalable architecture through structured analysis. * Hands-on use or administration of Adobe Experience Platform (AEP), including available AI tools. * Experience with Python or Bash scripting and planning or executing large-scale data migrations.
Consulting, Domain Knowledge & Education * Degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent experience. * Strong organization, verbal and written communication, and the ability to balance multiple customer projects. * Deep knowledge of at least one relevant industry, such as retail, telecommunications, healthcare, automotive, cloud, or streaming platforms.
Preferred Skills & Experience * Real-Time Customer Data Platform (RTCDP) certification.
Role Expectations * Provide technical leadership and client-facing guidance across data architecture, modeling, integration, migration, governance, and implementation activities. * Partner with Adobe and customer teams to resolve complex data challenges while maintaining secure, scalable, reliable solutions aligned with business and platform requirements.