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Principal Commercial Data Architect

RitsPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano15 września 2026
Wykryte przez nas
Wykryte przez nas17 września 2026
Zarobki
Zarobki30 240 - 33 600 PLN

RITS Group is a rapidly growing IT company providing high-quality software development services for international markets. We are looking for a Principal Commercial Data Architect to join our team and help us build scalable, future-ready data ecosystems that drive business clarity and innovation.

Key responsibilities

  • Architect and evolve a modern commercial data foundation supporting CRM, marketing automation, and order-to-cash processes.
  • Define enterprise conceptual and logical data models, taxonomies, and ontologies using Domain-Driven Design principles.
  • Design real-time, event-driven data streaming patterns and API contracts to ensure seamless synchronization across systems.
  • Establish semantic authority for AI-driven analytics by defining metrics, calculation logic, and data validation standards.
  • Manage technical debt and modernize the data landscape by consolidating legacy silos into vendor-agnostic, future-proof patterns.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative field.
  • Over 12 years of hands-on experience in enterprise data architecture, modeling, or solution architecture.
  • Expert proficiency in conceptual, logical, and physical data modeling across relational, dimensional, and graph structures.
  • In-depth knowledge of commercial value streams, including sales, marketing, and customer support operations.
  • Proven ability to design data backbones for multi-application ecosystems and experience with cloud platforms like Snowflake, AWS, or Azure.

What we offer

  • Fully remote work environment allowing for flexibility and focus.
  • Opportunity to work on high-impact, large-scale data projects within a collaborative and innovative culture.
  • Engagement in shaping enterprise-level architectural standards and AI-readiness strategies.

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