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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Data Architect - Technology Consulting

Data EngineeringPosted on Nov 4
Full-timePrague, CzechiaNo salary listed

About the Job

Requirements

  • 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.

Responsibilities

  • 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, continuous integration and continuous delivery, and Infrastructure as Code.
  • Stay close to delivery and help teams solve complex technical and architectural challenges.

Desired Qualifications

  • 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 artificial intelligence or large language model capabilities into data architecture, including retrieval-augmented generation, vector databases, or AI governance.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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