Data Architect

Jobgether; France; À distance; EUR 110 000 - 150 000; Plein temps

Avantages offerts par ce poste

Full-time consulting engagement

Remote work from EU/Netherlands or GMT

International exposure across US/CA

Résumé du poste

Jobgether is seeking a Senior Data Architect based in France to lead the design of secure, scalable data solutions supporting digital marketing platforms. You will connect customer profiles, segmentation, journeys, and campaigns through enterprise data modeling, governance, and hands-on delivery.

You will collaborate with customers to translate business requirements into practical architectures, integrating CRM, sales, and analytics data for real-time and batch use cases, while ensuring privacy

Qualifications

• Bachelor’s degree or equivalent in CS/IS/Data Science or related field.
• 10+ years in data architecture, data modeling, and SQL with direct customer engagement.
• Expert knowledge of customer-centric database modeling across relational, hierarchical, analytical, and modern data architectures.
• Advanced SQL development with complex functions, transformations, and data analysis.
• Experience with Adobe Experience Platform (AEP) and AI capabilities.
• Programming or scripting in Python or Bash.
• Experience leading large-scale data migrations.
• Strong governance, privacy, security, and regulatory knowledge (GDPR, etc.).
• Deep sector-specific data expertise (retail, telecom, healthcare, etc.).
• Excellent communication and stakeholder management.

Responsabilités

• Design and implement advanced data solutions across Adobe products, cloud platforms, and enterprise data environments.
• Conduct data discovery with customers to understand sources and dependencies.
• Unify disparate data sources to support digital marketing use cases.
• Lead development of conceptual, logical, and physical data models.
• Define standards for data quality, master data management, governance, privacy, and regulatory compliance.
• Collaborate with cross-functional teams to translate requirements into scalable architectures.
• Design architectures that accommodate growing data volumes and evolving stacks.
• Prepare data lakes and real-time customer profiles for ingestion using REST APIs and scripting.
• Develop and support data ingestion for streaming and batch processing.
• Optimize data-query performance across platforms.
• Lead end-to-end data migration initiatives with data quality and security in mind.
• Apply Adobe Experience Platform capabilities to support customer data and digital experiences.

Connaissances

Data architecture

Data modeling

SQL

Customer engagement

Communication

Stakeholder management

Python

Bash

Governance & compliance

Formation

Bachelor's degree in Computer Science, Information Systems, Data Science, or related discipline

Outils

Adobe Experience Platform (AEP)

Postman

Python scripting

Description du poste

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Architect based in France.

Lead the design of advanced, secure, and scalable data solutions supporting sophisticated digital marketing platforms.
You’ll shape data strategies and architectures that connect customer profiles, segmentation, journeys, and campaigns.
The role combines enterprise data architecture, modeling, governance, SQL, integration, and hands‑on technical delivery.
You’ll work directly with customers to understand complex data environments and translate business requirements into practical architectures.
Your work will bring together diverse sources such as CRM, sales, and analytics data for real‑time and batch marketing use cases.
You’ll also contribute to data migration, ingestion, performance optimization, security, privacy, and regulatory compliance.
This is a full‑time remote consulting opportunity supporting enterprise clients across North America, with collaboration aligned to Central Time.

Accountabilities

• Design and implement advanced data solutions across Adobe products, cloud platforms, and enterprise data environments in alignment with broader data strategies.
• Work directly with customers to conduct data discovery, assess existing systems and business processes, and understand data sources, movement, granularity, formats, and dependencies.
• Unify disparate data sources, including sales, CRM, analytics, and other enterprise systems, to support digital marketing use cases.
• Lead the development of conceptual, logical, and physical data models tailored to customer requirements.
• Define and promote standards for data quality, master data management, governance, modeling, tooling, security, privacy, and regulatory compliance.
• Collaborate with cross‑functional and cross‑disciplinary teams to identify customer requirements and develop scalable, secure data architecture blueprints.
• Design solutions that accommodate growing data volumes, evolving technology stacks, integrations, and changing customer objectives.
• Prepare data lakes and real‑time customer profiles for data ingestion and activation using REST APIs, Postman, and scripting to automate configuration and setup.
• Develop and support data ingestion solutions for both streaming and batch processing, working closely with ETL and ELT pipelines.
• Optimize data‑query performance across platforms while maintaining required platform standards and guardrails.
• Lead end‑to‑end data migration initiatives, ensuring data quality, integrity, security, and regulatory compliance throughout the process.
• Apply Adobe Experience Platform capabilities, including available AI‑powered tools, to support customer data and digital experience initiatives.

Requirements:

• Bachelor’s degree or equivalent experience in Computer Science, Information Systems, Data Science, or a related discipline.
• 10+ years of experience in data architecture, data modeling, and SQL, including substantial direct customer engagement.
• Expert knowledge of customer‑centric database modeling across relational, hierarchical, analytical, and modern data architectures, including RDBMS, columnar databases, data warehouses, BI environments, document databases, semantic layers, data lakes, OLTP, and OLAP.
• Advanced SQL development skills, including functions, transformations, arrays, joins, stored procedures, and data analysis.
• Proven ability to translate complex business requirements into scalable data architectures through structured workflow and process analysis.
• Hands‑on experience using or administering Adobe Experience Platform (AEP), including relevant AI capabilities.
• Experience with programming or scripting languages such as Python or Bash.
• Proven experience planning and executing large‑scale data migration initiatives.
• Strong understanding of data governance, quality, security, privacy, and regulatory requirements, including considerations around PII, PCI, HIPAA, and GDPR.
• Deep industry expertise in at least one relevant sector, such as retail, telecommunications, healthcare, automotive, cloud, or streaming.
• Strong organizational skills and the ability to manage priorities across multiple concurrent customer engagements.
• Excellent communication and stakeholder‑management skills, with the ability to explain complex data concepts clearly to technical and business audiences.
• Real‑Time CDP (RTCDP) certification is preferred.

Benefits:

• Full‑time consulting engagement: Work on enterprise‑scale data architecture initiatives and complex customer projects.
• Remote work: Work remotely from the Netherlands while collaborating with international teams and clients.
• International exposure: Support enterprise customers across the United States and Canada.
• Flexible collaboration: Benefit from a remote‑friendly working environment with core collaboration hours aligned to Central Time.
• Professional development: Build expertise across data architecture, Adobe Experience Platform, cloud technologies, customer data, and AI‑enabled solutions.
• Technical variety: Work across data lakes, real‑time profiles, streaming and batch ingestion, APIs, ETL/ELT, data modeling, and migration initiatives.
• Strategic impact: Help shape secure, scalable data foundations that enable sophisticated customer experiences and digital marketing use cases.
• Consulting experience: Develop customer‑facing architecture, discovery, communication, and solution‑design expertise.
• Industry exposure: Apply your data architecture expertise across diverse enterprise industries and complex business environments.