Data Architect
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Role details
Tech stack
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Job description
- Provide deep experience building data solutions across multiple Adobe products and cloud platforms aligned with enterprise data strategy
- Engage closely with customers to facilitate data discovery, evaluating systems and business processes, and analyzing sources, movement, granularity, and format
- Unify disparate data (sales, CRM, analytics, etc.) to meet digital marketing use cases; lead development of conceptual, logical, and physical data models
- Define standards for data quality, master data management, data governance, modeling, tooling, security, privacy, and regulatory compliance (PII, PCI, HIPAA, GDPR)
- Engage cross-disciplinary groups to identify customer demands and provide scalable, secure data blueprints
- Provide solutions for growing data volumes, tools, and integrations aligned with customer objectives
- Deliver data lake and real-time customer profile readiness for ingestion/activation, using REST APIs, Postman, and scripting to automate setup
- Develop data ingestion solutions for streaming and batch processing; collaborate on ETL/ELT pipelines
- Improve data query performance across platforms while ensuring product guardrails are followed
- Drive end-to-end data migration initiatives, maintaining data quality, integrity, and compliance
Requirements
- Degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent experience
- 10+ years of data architecture, modeling, and SQL experience working directly with customers
- Expert proficiency crafting customer-centric database models across relational, hierarchical, and analytical architectures (RDBMS, Columnar, Data Warehouse, BI, Document, Semantic layer, Data Lakes, OLTP & OLAP)
- Advanced SQL development skills (functions, transformations, arrays, joins, stored procedures, data analysis)
- Deep experience translating business requirements into scalable data architecture via structured workflow/process analysis
- Strong organizational skills with the ability to balance concurrent customer projects; strong communication skills
- Hands-on use or administration of Adobe Experience Platform (AEP), including available AI tools
- Deep domain expertise in one or more industries (retail, telecom, healthcare, automotive, cloud/streaming, etc.)
- Experience with programming languages (e.g., Python or Bash scripting)
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Experience planning and executing large-scale data migrations Preferred / Nice-to-Have Skills
- Real-Time CDP (RTCDP) certification Engagement Details Full-time consulting engagement supporting enterprise data architecture initiatives.
Benefits & conditions
AllShore Talent partners with growing organizations to build high-performing technology and consulting teams. We connect skilled professionals with meaningful, long-term engagements across web technologies, digital experience platforms, and enterprise software delivery - offering competitive compensation, flexible engagement models, and a collaborative, remote-friendly culture.
About the company
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