Data Architect (100% Remote) (EMEA Only)

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