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Data Architect (100% Remote) (EMEA Only)

  • Bucharest, Romania, Bulgaria, Poland, Portugal, Spain
  • Remote
  • Posted Oct 31, 2026
  • 1 position

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Employment type
Full-time
Experience level
Lead · 10+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Poland, Romania, Bulgaria, Portugal, Spain, Czechia, Hungary, Serbia, South Africa, Egypt, Greece, Croatia, Slovakia, Slovenia, Lithuania, Estonia, Latvia, Ukraine, Morocco

Job summary

You will lead the development of secure data solutions and craft data strategies for digital marketing platforms. This includes unifying disparate data sources, defining governance standards, and managing end-to-end data migration initiatives.

Job details

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 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).

What you’ll do

You will lead the development of secure data solutions and craft data strategies for digital marketing platforms. This includes unifying disparate data sources, defining governance standards, and managing end-to-end data migration initiatives.

Requirements

Candidates must have 10+ years of experience in data architecture, modeling, and advanced SQL development. A degree in a relevant field and hands-on experience with Adobe Experience Platform are required.

Benefits

  • Competitive compensation
  • Flexible engagement models
  • Collaborative culture

Listed skills

  • SQL · Preferred
  • REST APIs · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Data architecture
  • Data modeling
  • SQL
  • Adobe Experience Platform
  • Data governance
  • Data migration
  • Python
  • Bash scripting
  • ETL/ELT
  • REST APIs
  • Data lakes
  • Master data management
  • Cloud platforms
  • Real-time CDP
  • Data strategy
  • Customer-centric database models
  • SQL (Programming Language)
  • Data Analysis
  • Business Intelligence
  • Extract Transform Load (ETL)
  • Business Process
  • Communication
  • Data Modeling
  • Planning
  • Data Warehousing
  • Governance
  • Information Systems
  • Tooling
  • Workflow Management
  • Business Requirements
  • Innovation
  • Data Science
  • Data Lakes
  • Regulatory Compliance
  • General Data Protection Regulation (GDPR)
  • Data Quality
  • Organizational Skills
  • Consulting
  • Customer Relationship Management
  • Sales
  • Python (Programming Language)
  • Scripting
  • Digital Marketing
  • Analytics
  • Stored Procedure
  • Scalability
  • Data Governance
  • Computer Science
  • Bash (Scripting Language)
  • RESTful API

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Consulting
  • Marketing
  • Data Architect
  • Database Designers and Administrators
  • Database Architects

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