Cloud Data Platform Architect – Technology Consulting

. Define the architectural vision and technology strategy for complex data platforms .

Posted 9/25/2026full-timePrague • CzechiaMid-LevelSeniorWebsite

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

Key responsibilities & impact

Define the architectural vision and technology strategy for complex data platforms
Design end-to-end architectures for cloud-native data platforms, including data lakes, Lakehouse, data warehousing, and integration layers
Evaluate and select tools and platforms 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 for critical or complex tasks
Act as a senior technical advisor to clients
Lead architecture workshops and present strategic recommendations to executive stakeholders
Guide adoption of best practices in data governance, security, CI/CD, and Infrastructure as Code

What you’ll need

Proven experience designing and delivering enterprise-scale cloud data platform architectures
Deep expertise across Azure, AWS, or GCP, including understanding of platform and service trade-offs
Strong track record architecting and hands-on building enterprise-scale solutions using 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
Strong understanding of data governance, security, and compliance requirements, particularly in banking or insurance
Strong stakeholder management and communication skills, with ability to influence technology decisions at executive level
Experience defining enterprise-wide data strategy or reference architectures across multiple business units or clients
Experience leading large-scale cloud or data platform migrations
Expertise in data mesh, data fabric, or modern data architecture paradigms
Experience with FinOps and cost optimization strategies for large-scale cloud data platforms
Experience integrating AI/LLM capabilities into enterprise data platform architecture, including RAG, vector databases, and AI governance

Comp & perks

Fair pay with no gaps; PwC is among the few companies in the Czech Republic certified for Equal Pay
Flexible benefits programme with 55,000 points
35 days of paid time off, including three well-being days and two additional days off at the end of the year
One paid volunteering day every year
Opportunity to work from one of PwC’s international offices (available from the Senior Associate level)
Ongoing training and certifications in consulting, business, technology, Agile, project management, data analytics, cloud and Microsoft technologies, business process analysis, and consulting skills
Buddy programme, regular feedback, and access to a coach
Extensive well-being support, workplace yoga, and running events
Ultrบook and an iPhone with unlimited data
Social events and Away Days