Data Architect (100% Remote) (EMEA Only)

Allshore Talent•Mutxamel, 02

18d•Remote

About The Position

As a Data Architect, you will lead or support the development of advanced, secure data solutions for digital marketing platforms. You will craft data strategy, architecture, SQL, and governance for customer solutions spanning end-to-end profiles, segmentation, journeys, and campaigns. This is a full-time consulting engagement supporting enterprise data architecture initiatives. The role is remote, supporting clients across the United States and Canada, with core collaboration hours aligned to Central Time (CST).

Requirements

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.
Expertise crafting customer-centric database models across relational, hierarchical, and analytical architectures, including RDBMS, columnar systems, data warehouses, BI, document databases, semantic layers, data lakes, OLTP, and OLAP.
Advanced SQL development skills, including functions, transformations, arrays, joins, stored procedures, and data analysis.
Experience translating business requirements into scalable data architecture through structured workflow and process analysis.
Strong organizational skills to balance concurrent customer projects, along with 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, such as retail, telecom, healthcare, automotive, cloud, or streaming.
Experience with programming languages such as Python or Bash scripting.
Experience planning and executing large-scale data migrations.

Nice To Haves

Real-Time CDP (RTCDP) certification.

Responsibilities

Build data solutions across multiple Adobe products and cloud platforms in alignment with enterprise data strategy.
Facilitate customer data discovery by evaluating systems and business processes and analyzing data sources, movement, granularity, and format.
Unify disparate data, including sales, CRM, and analytics data, for 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, including PII, PCI, HIPAA, and GDPR.
Work with cross-disciplinary groups to identify customer needs and provide scalable, secure data blueprints.
Develop solutions for growing data volumes, tools, and integrations aligned with customer objectives.
Prepare data lakes and real-time customer profiles for ingestion and activation, using REST APIs, Postman, and scripting to automate setup.
Develop streaming and batch data ingestion solutions and collaborate on ETL/ELT pipelines.
Improve data query performance across platforms while following product guardrails.
Drive end-to-end data migration initiatives while maintaining data quality, integrity, and compliance.