Data Architect, Product Modernization

Job not on LinkedIn

🕒 October 14

🍑 Georgia – Remote

🍑 Georgia – Remote

💵 $113k - $158.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 31 days.
• Jobs at this company usually fill in 24 days.
• 209 open roles for a team of 108.

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dentsu Austria

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1900

📣 Marketing

📱 Media

🏢 Enterprise

Marketing • Media • Enterprise

dentsu Austria is a part of the Dentsu Group, serving as an integrated growth and transformation partner to leading organizations worldwide. The company focuses on pushing the boundaries of business transformation and sustainable growth, providing world-class services and integrated solutions. Dentsu Austria is committed to innovating and creating experiences that enrich every business, with a strong emphasis on research, analysis, and media trends. By leveraging their global network of innovators, they strive to simplify complexities and drive impactful outcomes for brands, people, and society.

📋 Description

• Lead design and delivery of product modernization initiatives migrating legacy Adobe solutions to modern platforms across Analytics, Content, and Commerce • Architect and operationalize end-to-end data foundations spanning data strategy, modeling, integration, and governance • Evaluate customer systems, business processes, data sources, data movement, granularity, relationships, and formats • Unify sales, CRM, analytics, marketing, content operations, commerce, call center, and point-of-sale data for customer use cases • Develop conceptual, logical, and physical data models for multi-solution delivery • Define and apply frameworks for data quality, standards, master data management, data services, governance, security, privacy, and regulatory compliance • Collaborate with customers, Adobe professionals, cross-disciplinary groups, and data engineers • Provide data layouts, strategic blueprints, scalable solutions, and technical issue resolution • Prepare Adobe Platform data lakes and real-time customer profiles for data ingestion and activation • Use REST APIs, Postman, and scripting to automate implementation, setup, validation, and data pipelines • Design streaming, batch, online, and offline AEP ingestion solutions and ETL/ELT workflows • Improve query performance through model tuning and platform guardrails • Drive large-scale data migration while maintaining data quality, integrity, historical accuracy, governance, and compliance • Audit Adobe solutions to establish baselines and identify technical debt, governance gaps, and data quality issues • Assess taxonomy, content metadata tagging, standards compliance, and commerce product data enrichment • Identify reconciliation and integration points and document data consistency requirements • Map legacy infrastructure to AEP schemas and CJA data views, determining what to migrate, transform, or redesign • Design AEP schemas, identity resolution, content asset structures, and product data models • Develop relational and dimensional analytics models across RDBMS, columnar, data warehouse, and data lake environments • Develop validation and reconciliation documentation for legacy-versus-modern platform comparisons

🎯 Requirements

• 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 clear 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 in a multi-domain context • 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 explain complex 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 (ACE) in CJA or AEP Data Architect preferred • Adobe Certified Associate (ACA) in Real-Time Customer Data Platform or Analytics preferred • Experience with Adobe Experience Platform for Content or Commerce preferred • Experience with Adobe Analytics API preferred • Experience with Analytics-to-CJA migration patterns and metric mapping preferred • Experience with Git and CI/CD practices preferred • Experience presenting modernization audits and migration strategies to C-suite and line-of-business stakeholders preferred

🏖️ Benefits

• 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

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