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PwC

Data Architect – Technology Consulting

PwC is hiring a Data Architect – Technology Consulting in Prague, Czechia. Level rates it ; you can apply on PwC.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Databricks, RAG and data architecture.
  • Level classifies it as a senior role.
  • Level lists 3,800+ other open roles at PwC.
  • The role was posted in the last few days.

AI in this role

Data Architect designing enterprise-scale data platforms and solutions combining traditional data management and modern data technologies.

databricks
ragdata-architecturedata-platformsdata-governanceclouddata-integration

Job Description & Summary

About the team

Join our Data Management team within Technology Consulting, where we help clients turn data into business value through modern data platforms, analytics, and Data & AI solutions. You’ll work on complex projects for clients in the Czech Republic and abroad, collaborating with data engineers, analytics specialists, and business stakeholders. As a Data Architect, you’ll connect business needs with technology and shape solutions from initial design through successful delivery.


About your manager

Tomáš Karas is a Director who leads the whole Data Management team in Technology Consulting. Combining the roles of Data Architect and Delivery data lead, he helps clients build large-scale data platforms and transform data using modern data & AI technologies into business value. His teams deliver solutions that automate complex processes and save clients thousands of hours of operational effort using a combination of data & AI platforms. Outside of work, you'll likely meet him with a team at some place that involves music either on dance floor or behind the mic on karaoke. At home he spends time with family of 4 kids and their famous guinea pig farm.


Jakub Ohanka is a Senior Manager who leads the Data Analytics team within Data Management in Technology Consulting. Combining the roles of Data Architect and Delivery Manager, he helps clients transform their data into business value. He also leads a data team delivering projects in Ireland. Outside of work, he is raising his two sons into future football stars and supports his favorite football club.


Job description & summary

Are you an experienced data professional who enjoys connecting business needs with technology and designing solutions that work at enterprise scale? Join our team as a Data Architect and take ownership of designing modern data solutions for a variety of clients, including organizations in the Czech Republic and abroad.


As a Data Architect, you’ll work at the intersection of business, data, and technology. You’ll translate complex requirements into robust data architectures, guide engineering teams during implementation, and help clients make the right technology decisions.


You will:

  • Design end-to-end data architectures covering data ingestion, integration, storage, transformation, analytics, and consumption.
  • Translate business and data requirements into scalable, secure, and maintainable solution designs.
  • Design modern data platforms using technologies such as Databricks, Snowflake, MS Fabric, and cloud-native services across Azure, AWS, or GCP.
  • Define data models, integration patterns, data flows, and architectural standards.
  • Work closely with Data Engineers, analytics teams, and business stakeholders to turn architecture into working solutions.
  • Guide technical teams during implementation and provide architectural oversight throughout delivery.
  • Lead architecture and design workshops with clients and communicate technical decisions clearly to senior stakeholders.
  • Support technology selection and evaluate architectural trade-offs, including scalability, security, maintainability, and cost.
  • Contribute to best practices in data governance, security, CI/CD, and Infrastructure as Code.
  • Stay close to delivery and help teams solve complex technical and architectural challenges.

What matters to us

  • Proven experience designing data architectures and delivering complex data solutions, ideally in enterprise environments.
  • Strong understanding of modern data architecture concepts, including data lakes, Lakehouse, data warehousing, data modeling, and integration patterns.
  • Hands-on experience with modern data technologies such as Databricks, Snowflake, MS Fabric, and at least one major cloud platform such as Azure, AWS, or GCP.
  • Good understanding of data governance, security, cloud engineering, and software engineering principles.
  • Ability to translate business requirements into clear architecture and make pragmatic technology decisions.
  • Strong communication and stakeholder management skills, with the ability to lead workshops and explain complex technical topics to both technical and business audiences.

What will help you stand out

  • Experience defining reference architectures or data architecture standards across multiple projects.
  • Relevant cloud, data, or architecture certifications.
  • Experience with large-scale data platform modernization or cloud migration programmes.
  • Knowledge of data mesh, data fabric, metadata management, or modern data governance approaches.
  • Experience with batch and real-time integration architectures and technologies such as Kafka or similar platforms.
  • Experience incorporating AI/LLM capabilities into data architecture, including RAG, vector databases, or AI governance.

Why you’ll love working here

  • Professional growth that matches your ambitions and pace. Gain in months the kind of experience that can take years to build elsewhere.
  • Fair pay with no gaps. We are among the few companies in the Czech Republic certified for Equal Pay.
  • A flexible benefits programme with 55,000 points to spend on what matters most to you.
  • 35 days of paid time off, including three well-being days and two additional days off at the end of the year.
  • An opportunity to give back to the community with one paid volunteering day every year.
  • The chance to work from one of PwC’s international offices (available from the Senior Associate level).
  • We support your learning and development journey: Benefit from ongoing training and certifications in consulting, business, and technology skills, including Agile and project management, data analytics (Power BI, Python, Alteryx, Tableau), cloud and Microsoft technologies (Azure, Power Platform), business process analysis, and consulting essentials, such as stakeholder management, communication, and presentation skills.
  • A buddy programme, regular feedback, and access to a coach who can support your professional development and career path.
  • Extensive well-being support and initiatives promoting a healthy lifestyle, from Dr. Digital and Human Dynamic programmes to workplace yoga and running events.
  • An ultrabook and an iPhone with unlimited data.
  • Social events and Away Days.

At PwC, we help clients solve today’s and tomorrow’s challenges across audit, consulting, tax, legal, technology, and data. We create an environment where people can learn, grow, and build a career in their own way. We believe the best results come from diverse experiences and perspectives. That’s why we foster an inclusive culture where everyone can be themselves, build on their strengths, and contribute to work that makes a real impact.


Interested in joining us? We’d love to hear from you and tell you more about this opportunity.


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#LI-VH1

How we rate this

Data Architect – Technology Consulting at PwC rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGData ArchitectureData PlatformsData GovernanceCloudData IntegrationDatabricks

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Tell me about a project where data architecture was part of your work. What did you do?
  3. Tell me about a project where data platforms was part of your work. What did you do?
  4. Tell me about a project where data governance was part of your work. What did you do?
  5. Tell me about a project where cloud was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, Data Architecture, Data Platforms, Data Governance, and Cloud. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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