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Data Architect – Customer Solutions & Technology Strategy

Tietoevry
Czechiafull_timeVerifiedPosted 13 Mar 2026

About the role

As of 2 September 2025, Vivicta, former Tietoevry Tech Services, now operates as a standalone company under our new brand. We’ve officially launched Vivicta, your trusted Nordic transformation partner, making everyday easier through technology. You can explore more about our brand and what we stand for at https://www.vivicta.com

Ready to join us? Click ‘Apply’ and complete our short application form to get started. Prefer another option? Apply via LinkedIn to automatically populate your details using your profile.

The Data Architect is responsible for designing modern data platform solutions tailored to customer needs while continuously monitoring the data technology market. The role evaluates emerging technologies, compares platforms and architectural approaches, and recommends optimal solutions based on scalability, cost-efficiency, and long-term business value.

The architect works closely with sales, delivery teams, and customers to define solution architectures and ensure the right technology choices across leading data platforms.

 

Key Responsibilities:

1. Customer Data Solution Architecture

  • Design end-to-end data platform architectures aligned with customer business requirements
  • Define reference architectures and solution blueprints
  • Support solution design during pre-sales and customer engagements
  • Ensure scalability, performance, security, and cost optimization of proposed architectures

2. Technology Landscape Monitoring

  • Continuously track trends and innovations in the data and analytics ecosystem
  • Evaluate capabilities of leading data platforms such as Databricks, Microsoft Fabric, Snowflake, and services within Microsoft Azure
  • Identify opportunities where new technologies can bring value to customers

3. Technology Evaluation & Comparison

  • Perform architectural and cost comparisons across modern data platforms
  • Assess suitability of technologies for different workloads (analytics, data engineering, AI/ML, real-time processing)
  • Provide guidance on platform selection based on customer maturity, scale, and use cases

4. Business & Pre-Sales Support

  • Support sales teams with technical expertise during solution proposals
  • Participate in customer workshops and architecture discussions
  • Translate business needs into technical solution concepts and architecture proposals

5. Internal Knowledge & Architecture Standards

  • Develop best practices, architecture guidelines, and reusable design patterns
  • Share knowledge about emerging technologies and platform capabilities
  • Contribute to internal capability building in modern data platforms

 

Key Skills & Expertise :

  • Data platform architecture and modern data stack design
  • Strong knowledge of platforms such as Databricks, Microsoft Fabric, Snowflake and the Microsoft Azure ecosystem
  • Data engineering and analytics architecture patterns (Lakehouse, Data Warehouse, Data Mesh)
  • Technology evaluation and architectural decision frameworks
  • Ability to translate business requirements into scalable technical solutions
  • Strong analytical thinking and stakeholder communication

 

We offer:

  • The contract is for an indefinite period of time. We count on you! ​​ 

  • Stay fit and fresh. In Ostrava, use the free fitness facilities in the building, in other locations, do sports with Multisport.

  • We'll support you when you're sick. For colleagues who are seriously ill for a long period of time, we c

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Company

Tietoevry

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