Senior Commercial Data Architect - Remote & AI-Ready Data

RITS

Warszawa

Remote

PLN 276.000 - 358.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

100% remote

Zusammenfassung

RITS Group in Warsaw is seeking a Senior Data Architect to lead the Target Data Architecture, building a scalable foundation for CRM, Service Desks, Marketing Automation, and Commercial Ops.

You will own semantic content, define domain models, and establish real-time integration patterns while aligning with GDPR and enterprise standards. Collaboration with product owners and enterprise architects is essential for modernizing the data landscape.

Qualifikationen

  • Hands-on data architecture and modeling across enterprise domains.
  • Experience with multi-application ecosystems (CRM, ERP, analytics).
  • Strong communication with technical and business stakeholders.

Aufgaben

  • Drive the Target Data Architecture for a scalable commercial data foundation.
  • Define domain models and standards with DDD to bind sub-domains.
  • Design real-time data streaming and API contracts for synchronization.
  • Own semantic content and validation gates for AI-facing surfaces.
  • Ensure governance, ADRs, and alignment with GDPR and security guidelines.
  • Reduce technical debt and modernize the data landscape while collaborating with leaders.

Kenntnisse

Data modeling
Enterprise architecture
Cloud platforms
Event-driven APIs
Stakeholder communication

Ausbildung

Bachelor’s or Master’s in Computer Science/Data Engineering

Tools

Snowflake
AWS
Azure Data Lake
DBT
Kafka
REST/GraphQL

Jobbeschreibung

RITS Group in Warsaw is seeking a Senior Data Architect to lead the Target Data Architecture, building a scalable foundation for CRM, Service Desks, Marketing Automation, and Commercial Ops.

You will own semantic content, define domain models, and establish real-time integration patterns while aligning with GDPR and enterprise standards. Collaboration with product owners and enterprise architects is essential for modernizing the data landscape.

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