Data Architect

Accountabilities: Design and implement advanced data solutions across Adobe products, cloud platforms, and enterprise data environments in alignment with broader data strategies. Work directly with customers to conduct data discovery, assess existing systems and business processes, and understand data sources, movement, granularity, formats, and dependencies. Unify disparate data sources, including sales, CRM, analytics, and other enterprise systems, to support digital marketing use cases. Lead the development of conceptual, logical, and physical data models tailored to customer requirements. Define and promote standards for data quality, master data management, governance, modeling, tooling, security, privacy, and regulatory compliance. Collaborate with cross-functional and cross-disciplinary teams to identify customer requirements and develop scalable, secure data architecture blueprints. Design solutions that accommodate growing data volumes, evolving technology stacks, integrations, and changing customer objectives. Prepare data lakes and real-time customer profiles for data ingestion and activation using REST APIs, Postman, and scripting to automate configuration and setup. Develop and support data ingestion solutions for both streaming and batch processing, working closely with ETL and ELT pipelines. Optimize data-query performance across platforms while maintaining required platform standards and guardrails. Lead end-to-end data migration initiatives, ensuring data quality, integrity, security, and regulatory compliance throughout the process. Apply Adobe Experience Platform capabilities, including available AI-powered tools, to support customer data and digital experience initiatives. Requirements: Bachelor’s degree or equivalent experience in Computer Science, Information Systems, Data Science, or a related discipline. 10+ years of experience in data architecture, data modeling, and SQL, including substantial direct customer engagement. Expert knowledge of customer-centric database modeling across relational, hierarchical, analytical, and modern data architectures, including RDBMS, columnar databases, data warehouses, BI environments, document databases, semantic layers, data lakes, OLTP, and OLAP. Advanced SQL development skills, including functions, transformations, arrays, joins, stored procedures, and data analysis. Proven ability to translate complex business requirements into scalable data architectures through structured workflow and process analysis. Hands-on experience using or administering Adobe Experience Platform (AEP), including relevant AI capabilities. Experience with programming or scripting languages such as Python or Bash. Proven experience planning and executing large-scale data migration initiatives. Strong understanding of data governance, quality, security, privacy, and regulatory requirements, including considerations around PII, PCI, HIPAA, and GDPR. Deep industry expertise in at least one relevant sector, such as retail, telecommunications, healthcare, automotive, cloud, or streaming. Strong organizational skills and the ability to manage priorities across multiple concurrent customer engagements. Excellent communication and stakeholder-management skills, with the ability to explain complex data concepts clearly to technical and business audiences. Real-Time CDP (RTCDP) certification is preferred. Benefits: Full-time consulting engagement: Work on enterprise-scale data architecture initiatives and complex customer projects. Remote work: Work remotely from the Netherlands while collaborating with international teams and clients. International exposure: Support enterprise customers across the United States and Canada. Flexible collaboration: Benefit from a remote-friendly working environment with core collaboration hours aligned to Central Time. Professional development: Build expertise across data architecture, Adobe Experience Platform, cloud technologies, customer data, and AI-enabled solutions. Technical variety: Work across data lakes, real-time profiles, streaming and batch ingestion, APIs, ETL/ELT, data modeling, and migration initiatives. Strategic impact: Help shape secure, scalable data foundations that enable sophisticated customer experiences and digital marketing use cases. Consulting experience: Develop customer-facing architecture, discovery, communication, and solution-design expertise. Industry exposure: Apply your data architecture expertise across diverse enterprise industries and complex business environments.