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Himalayas · Partner listing

Data Architect (100% Remote) (EMEA Only)

Allshore Talent

⌖ WorldwideSalary not providedRemoteContract · Not specified

Source: Himalayas ↗

Location & working arrangement

Working arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.

Provider location / applicant eligibility: Worldwide

About the role

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

Skills mentioned in the listing

Regulatory compliancePythonSQLData analysisData scienceETLREST APIsGDPRDigital marketingCRM

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Regulatory compliance · mentioned
ter 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 da

Python · desirable
utomotive, 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 (RT

SQL · mentioned
novative 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 Provid

Data analysis · mentioned
velopment skills (functions, transformations, arrays, joins, stored procedures, data analysis) Deep experience translating business requirements into scalable data architecture via structured workflow/process analysis

Data science · requirement-context
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 wi

ETL · mentioned
lop 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 mig

REST APIs · mentioned
a 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

GDPR · mentioned
deling, 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 gro

Digital marketing · mentioned
ad 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 profil

CRM · mentioned
lyzing 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 standar