Data Architect (100% Remote) (EMEA Only)

Allshore Talent

Polska

Remote

PLN 471,000 - 707,000

Full time

2 days ago
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Benefits offered by this job

Remote-friendly culture
Flexible engagement model
Consulting environment

Job summary

AllShore Talent seeks a Data Architect to lead or support advanced, secure data solutions for digital marketing platforms. You will shape data strategy, architecture, SQL, and governance for end-to-end profiles, segmentation, journeys, and campaigns.

You will collaborate with clients to discover data sources, design scalable models, ensure governance and privacy compliance, and deliver data lake and real-time readiness using APIs and scripting in a remote, consulting setup.

Qualifications

  • 10+ years designing data architectures and modeling for customer projects.
  • Expert SQL skills with experience in RDBMS, data warehouse, and OLAP.
  • Experience translating business needs into scalable data solutions.
  • Proven data governance, privacy, and regulatory compliance experience.
  • Customer-facing implementation across multiple Adobe products.

Responsibilities

  • Provide deep experience building data solutions across multiple Adobe products and cloud platforms aligned with enterprise data strategy.
  • Engage with customers to facilitate data discovery, evaluating systems and processes, and analyzing sources, movement, granularity, and format.
  • Unify disparate data to meet digital marketing use cases; lead development of data models across conceptual, logical, and physical layers.
  • 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 data blueprints.
  • Provide solutions for growing data volumes, tools, and integrations aligned with customer objectives.
  • Deliver data lake and real-time 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.

Skills

Data architecture
SQL
Customer-facing
Data modeling
Python scripting
Data governance
Cloud platforms
REST APIs

Education

Bachelor's degree or higher in CS/IS/Data Science

Tools

Adobe Experience Platform
Postman
Python scripting
ETL/ELT tools

Job description

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).

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