数据架构师（100%远程）（仅限EMEA）
Data Architect (100% Remote) (EMEA Only)
关于AllShore Talent
AllShore Talent与快速发展的组织合作，打造高效的技术和咨询团队。我们连接有技能的专业人士，为其提供跨网络技术、数字体验平台和企业软件交付的有意义的长期工作机会——提供具有竞争力的薪酬、灵活的合作模式以及协作性强、适合远程工作的文化。
职位概述
作为数据架构师，您将领导或支持为创新的数字营销平台开发高级、安全的数据解决方案。您将制定数据战略、架构、SQL和治理，覆盖端到端的客户资料、细分、旅程和活动。
主要职责
- 在企业数据战略的指导下，具备在多个Adobe产品和云平台上构建数据解决方案的丰富经验
- 与客户紧密合作，促进数据发现，评估系统和业务流程，并分析数据源、数据流动、粒度和格式
- 整合分散的数据（销售、CRM、分析等），以满足数字营销用例；主导概念、逻辑和物理数据模型的开发
- 制定数据质量、主数据管理、数据治理、建模、工具、安全、隐私和合规性标准（PII、PCI、HIPAA、GDPR）
- 与跨学科团队合作，识别客户需求并提供可扩展、安全的数据蓝图
- 提供符合客户目标的数据量、工具和集成解决方案
- 为数据湖和实时客户资料准备就绪提供数据，使用REST API、Postman和脚本自动化设置
- 开发流处理和批处理的数据摄入解决方案；协作开发ETL/ELT管道
- 在所有平台上提升数据查询性能，同时确保遵循产品防护措施
- 推动端到端的数据迁移计划，保持数据质量和合规性
要求
所需技能与经验
- 计算机科学、信息系统、数据科学或相关领域的学位，或同等经验
- 10年以上直接与客户合作的数据架构、建模和SQL经验
- 在关系型、层级型和分析型架构（RDBMS、列式、数据仓库、BI、文档、语义层、数据湖、OLTP和OLAP）中，具备创建以客户为中心的数据库模型的专家级能力
- 高级
查看英文原文
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