Data Architect

Jobgether

Deutschland

Remote

EUR 110.000 - 160.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Full-time consulting engagement
Remote work Netherlands
International exposure
Central Time collaboration
Professional development
Technical variety

Zusammenfassung

Jobgether is assisting a partner company in recruiting a Data Architect based in Germany to design secure, scalable data solutions for enterprise digital marketing platforms.

You will work with customers to translate requirements into architectures, unify data sources, model data, and govern quality across GDPR/HIPAA/PCI contexts. This is a remote consulting role spanning North America with Central Time collaboration.

Qualifikationen

  • Bachelor's degree or equivalent in CS/IS/DS or related.
  • 10+ years in data architecture, data modeling, and SQL with direct customer engagement.
  • Expert knowledge of customer-centric database modeling across RDBMS, data warehouses, data lakes, OLTP/OLAP.
  • Advanced SQL development including transformations, joins, procedures.
  • Hands-on experience with Adobe Experience Platform (AEP).
  • Experience with Python or Bash.
  • Strong data governance, privacy, and regulatory compliance knowledge (GDPR, HIPAA, PCI, PII).

Aufgaben

  • Design and implement advanced data solutions across Adobe products and enterprise data environments.
  • Engage with customers to discover data sources and translate requirements into architectures.
  • Unify disparate data sources for real-time and batch marketing use cases.
  • Lead development of conceptual, logical, and physical data models.
  • Define standards for data quality, master data management, governance, security, and privacy.
  • Collaborate with cross-functional teams to create scalable data architecture blueprints.
  • Prepare data lakes and real-time customer profiles using APIs and scripting.
  • Develop data ingestion solutions for streaming and batch processing; work with ETL/ELT pipelines.
  • Optimize data-query performance while maintaining standards.
  • Lead end-to-end data migration initiatives with data quality and compliance.
  • Apply Adobe Experience Platform capabilities to support customer data initiatives.

Kenntnisse

Data architecture
Data modeling
SQL
Adobe Experience Platform
Python
Bash
Regulatory compliance (GDPR/PII/PCI/H<

Ausbildung

Bachelor's degree or equivalent in Computer Science/Information Systems/Data Science

Tools

Postman

Jobbeschreibung

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 Germany.

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.
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