
51 - 200 employees
Founded 1900
đŁ Marketing
đą Media
đ˘ 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.
đĽ 1 minute ago
đşđ¸ United States â Remote
đľ $113k - $160k / year
â° Full Time
đ Senior
đ´ Lead
đ° Data Engineer
đť Ghost score 20%
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51 - 200 employees
Founded 1900
đŁ Marketing
đą Media
đ˘ 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.
⢠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
⢠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
⢠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
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