Data Architect

dentsu Austria

. Lead design and delivery of product modernization initiatives for enterprise customers migrating legacy Adobe solutions to modern platforms across Analytics, Content, and Commerce .

Posted 10/8/2026full-timeRemote • United StatesSeniorLead💰 $113,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data architecture and modeling, with a strong focus on Adobe Experience Platform (AEP) and data governance frameworks. Proficient in SQL development and capable of translating complex data configurations into actionable business requirements.

Highest-signal resume keywords

Data ArchitectureSQL DevelopmentAdobe Experience Platform (AEP)Data ModelingData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQL DevelopmentData ArchitectureData IngestionData QualityData GovernanceData MigrationData IntegrationData AnalysisData Privacy

Soft Skills

CommunicationOrganizational SkillsCollaborationProblem-SolvingCustomer Engagement

Tools & Technologies

Adobe Experience Platform (AEP)REST APIsPostmanETL/ELT PipelinesGitCI/CDAnalytics API

Certifications & Qualifications

Adobe Certified Expert in CJAAdobe Certified Expert in AEP Data ArchitectAdobe Certified Associate in Real-Time Customer Data PlatformAdobe Certified Associate in Analytics

Industry Keywords

Data LakeRDBMSOLTPOLAPData WarehouseCustomer DataContent ManagementCommerce SolutionsData Privacy FrameworksIdentity Resolution

Tech Stack

Tools & technologies

ETLPythonRDBMSSQL

About the role

Key responsibilities & impact

Lead design and delivery of product modernization initiatives for enterprise customers migrating legacy Adobe solutions to modern platforms across Analytics, Content, and Commerce
Architect and operationalize end-to-end data foundations across data strategy, modeling, integration, and governance
Evaluate customer systems and business processes to facilitate data discovery
Unify disparate CRM, sales, analytics, call center, content, commerce, and other data sources for digital marketing, content, and commerce use cases
Lead conceptual, logical, and physical data modeling for multi-solution delivery
Define and apply data quality, master data management, data services, governance, security, privacy, and compliance frameworks
Collaborate with customers, Adobe professionals, data engineers, and cross-disciplinary teams to identify demands and resolve technical obstacles
Deliver Adobe platform data lakes and real-time customer profiles for ingestion and activation
Use REST APIs, Postman, and scripting to automate implementation and setup
Develop streaming, batch, online, and offline data ingestion solutions within AEP
Collaborate on ETL/ELT pipelines for data collection and extraction
Tune data models and query performance while following platform guardrails
Drive end-to-end data migration initiatives while maintaining data quality, integrity, and compliance
Audit existing Adobe solutions and identify technical debt, governance gaps, and data quality issues
Assess platform maturity, taxonomy consistency, metadata tagging, standards compliance, and commerce product data enrichment
Map legacy infrastructure to AEP schemas and CJA data views, determining what to migrate, transform, or redesign
Architect AEP data models across Analytics, Content, and Commerce domains
Develop relational and dimensional analytics models across RDBMS, columnar, warehouse, and data lake environments
Support modernization migrations while preserving metric definitions, historical accuracy, content governance, and commerce data integrity
Develop validation and reconciliation documentation for legacy-versus-modern platform comparisons

Requirements

What you’ll need

8+ years of hands-on data architecture, data modeling, SQL development, and analytics platform experience working with enterprise customers
Expert proficiency in customer-centric database models and datasets using relational, hierarchical, RDBMS, columnar, data warehouse, BI, document, semantic layer, data lake, OLTP, and OLAP modeling
Experience auditing, assessing, and documenting data components of implementations
Ability to translate complex data configurations and data models into business requirements and technical documentation
Advanced SQL skills including window functions, complex joins, aggregations, stored procedures, and query optimization
Hands-on experience with Adobe Experience Platform (AEP), including data ingestion, schema design, unified profiles, segmentation, real-time activation workflows, and native AI tools
Knowledge of identity resolution, data privacy frameworks, and consent management
Proficiency in REST, webhooks, Postman, and basic Python or Bash scripting
Excellent written and verbal communication and strong organizational skills
Ability to balance concurrent customer engagements and communicate architectures and migration strategies to executive and technical audiences
Degree in Computer Science, Information Systems, Data Science, or related technical field; equivalent work experience in a senior data architecture role considered
Adobe Certified Expert in CJA or AEP Data Architect is a nice-to-have
Adobe Certified Associate in Real-Time Customer Data Platform or Analytics is a nice-to-have
Experience with Adobe Experience Platform for Content or Commerce, Adobe Analytics API, Analytics-to-CJA migrations, Git, and CI/CD are nice-to-haves

Benefits

Comp & perks

Medical, vision, and dental insurance
Life insurance
Short-term and long-term disability insurance
401k
Flexible paid time off
At least 15 paid holidays per year
Paid sick and safe leave
Paid parental leave
Applicable state and local employee leave benefits