Job description
About AllShore Talent
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.
Role Overview
As a Data Architect, you will lead or support the development of advanced, secure data solutions for innovative digital marketing platforms. You'll craft data strategy, architecture, SQL, and governance for customer solutions spanning end-to-end profiles, segmentation, journeys, and campaigns.
Key Responsibilities
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
Required Skills & Experience
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)
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.
Work Arrangement
Remote, supporting clients across the United States and Canada. Core collaboration hours are aligned to Central Time (CST).
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-11, UTC-10, UTC-9.5, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC-1, UTC+0, UTC+1, UTC+2, UTC+3, UTC+3.5, UTC+4, UTC+4.5, UTC+5, UTC+5.5, UTC+5.75, UTC+6, UTC+6.5, UTC+7, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+11, UTC+12, UTC+12.75, UTC+13, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.