Cloud Data Platform Architect – Technology Consulting

About the role

PwC's Technology Consulting Data Management team in Prague is looking for a Cloud Data Platform Architect. You will define the architectural vision and technology strategy for complex enterprise-scale data platforms, working with Lead Data Engineers, engineering teams and senior client stakeholders. The team supports clients such as large banks and insurance organisations, combining strategic architecture with hands-on engineering.

Key responsibilities

• Design end-to-end architecture for cloud-native data platforms, including data lakes, Lakehouse, data warehousing and integration layers.
• Define technology strategy and standards, evaluating and selecting tools such as Databricks, Snowflake, MS Fabric, Azure, AWS and GCP.
• Own architectural decisions across multiple projects, ensuring consistency, scalability, security and cost-efficiency.
• Provide architectural governance by reviewing designs from Lead Data Engineers and engineering teams.
• Contribute hands-on to engineering, troubleshooting and implementation on complex tasks.
• Act as a senior technical advisor to clients, leading architecture workshops and presenting recommendations to executives.
• Guide adoption of best practices in data governance, security, CI/CD and Infrastructure as Code.

Required profile

• Proven experience designing and delivering enterprise-scale cloud data platform architectures.
• Deep expertise across cloud platforms such as Azure, AWS or GCP, with a clear understanding of trade-offs.
• Strong track record architecting and building enterprise solutions with Databricks, Snowflake or MS Fabric.
• Multiple relevant cloud or architecture certifications, such as Azure Solutions Architect Expert, AWS Solutions Architect Professional or GCP Professional Cloud Architect.
• Understanding of data governance, security and compliance, especially in banking or insurance.
• Strong stakeholder management and communication skills, able to influence technology decisions at executive level.

What will help you stand out

• Enterprise-wide data strategy or reference architecture experience across several business units or clients.
• Led large-scale cloud or data platform migrations.
• Expertise in data mesh, data fabric or modern data architecture.
• FinOps and cost optimization experience.
• AI/LLM integration such as RAG, vector databases and AI governance.

What we offer

• Flexible benefits programme with 55,000 points to spend.
• 35 days of paid time off, including three well-being days and two extra days at year-end.
• One paid volunteering day per year.
• Work from an international office available from Senior Associate level.
• Ongoing training and certifications, a buddy programme, regular feedback and coaching.
• Well-being initiatives, social events and Away Days.
• An ultrabook and an iPhone with unlimited data.