Data Architect @

5 days ago

Remote, Czech Republic Spyrosoft Full time
  • Proven experience designing enterprise-level data architectures in Azure and/or AWS environments.
  • Expertise in Databricks, Lakehouse architecture, and data processing frameworks (e.g., Spark).
  • Hands-on experience implementing Master Data Management strategies and tools.
  • Strong proficiency in SQL/python, data modeling, and data integration patterns.
  • Familiarity with data governance, data cataloging, and data quality monitoring tools.
  • Excellent English language skills, both written and spoken, especially for technical communication.
  • Strong interpersonal skills with the ability to collaborate, share ideas, and build consensus across teams.
  • Experience working in multicultural, international environments.
  • French language skills - Nice to have
  • Experience with Microsoft Purview, Collibra, or similar metadata management tools - Nice to have
  • Background in BI development (e.g., Power BI) or experience working closely with reporting teams - Nice to have
  • Familiarity with security and compliance standards in cloud-based data environments - Nice to have

We're looking for a skilled Data Architect to join our growing Data & BI team at Spyrosoft. In this senior-level role, you'll design and build robust data architectures with a strong focus on Master Data Management, Databricks, and Lakehouse solutions on Azure or AWS. You'll collaborate with international, cross-functional teams, share your vision, and help drive alignment on data strategy. Strong communication and interpersonal skills will be key as you work with both technical and business stakeholders in a multicultural environment. If you're passionate about shaping modern data ecosystems and enabling organizations to turn raw data into trusted, high-impact insights—we'd love to hear from you.

,[Architect and implement scalable data solutions using Lakehouse, Databricks and cloud platforms (Azure or AWS)., Design and oversee Master Data Management (MDM) frameworks, ensuring consistency, accuracy, and governance of core business data., Design or optimize ETL/ELT pipelines, integrating data from diverse sources and ensuring high availability., Collaborate with DevOps and infrastructure teams to ensure resilient cloud-native architecture and incident-ready solutions., Develop and enforce data governance principles and manage tools like Microsoft Purview or Collibra., Create data models and semantic layers that serve as the foundation for BI and analytics solutions., Support teams by transforming business requirements into architecture blueprints and data-driven designs., Engage with diverse teams to communicate ideas and co-create architectural visions, promoting shared ownership and alignment., Mentor team members, driving data architecture best practices across the organization.] Requirements: Spark, Cloud, SQL, Python, BI Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, International projects, Free coffee, In-house trainings, Modern office, No dress code.

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