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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Data Architect Manager

Data ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Proven experience in enterprise architecture.
  • Hands-on experience designing and delivering platform-agnostic data architectures, working with cross-functional teams to build data models, pipelines, and semantic layers.
  • Understanding of how data modelling and architecture decisions support business outcomes and sector-specific needs.
  • Experience contributing to technology evaluations and articulating key considerations, trade-offs, and suitability for client environments.
  • Good working knowledge of data governance, lineage, quality frameworks, and master data management, and how they fit within a modern data platform.
  • Experience delivering high-quality work in client-facing environments and building effective working relationships with stakeholders.
  • Strong consulting foundations, including impactful communication, structured problem-solving, adaptability, and the ability to navigate ambiguity and deliver under pressure.
  • Design expertise in core data architecture disciplines, including data modelling (proficient in at least one data modelling tool, such as Erwin or ER Studio), metadata management, data migration, and master data management.
  • Experience applying data architecture approaches to ingest, model, and serve data from enterprise systems such as ERP (Oracle, SAP), CRM (Salesforce), and HR systems (Workday).
  • Practical knowledge of core data ETL and visualisation skills, using non-structured and structured storage and database solutions native to cloud providers.
  • Technical interest in one or more of the following areas: master data management tools such as Informatica, writing API specifications in JSON, and integrating with tools such as MuleSoft.

Responsibilities

  • Contribute to the design of enterprise data architectures that support modern analytics, AI, and digital transformation programmes, shaping how data is ingested, modelled, governed, and served across cloud platforms.
  • Support the definition of end-to-end data architecture approaches, including data modelling patterns, integration methods, lineage, quality, metadata management, and master data management, ensuring solutions are secure, scalable, and aligned to client needs.
  • Participate in architectural discovery and help shape data workstreams, contributing to technical delivery approaches across Azure, AWS, GCP, or Snowflake environments.
  • Work as part of cross-functional product squads, including Data Engineers, Data Strategists, AI specialists, and Business SMEs, to design, build, and provide technical assurance for data-driven architectures.
  • Engage with client stakeholders to understand business challenges, gather data requirements, evaluate technical options, and contribute to clear, value-led recommendations.
  • Collaborate with engineering teams to translate data architecture designs into practical solutions, supporting modelling, pipelines, integration patterns, and cloud platform components through delivery.
  • Contribute to data strategy discussions and architectural roadmaps, helping clients enhance their data landscape and enable modern analytics and AI capabilities.

Desired Qualifications

  • Experience in Agile delivery and Agile techniques, such as Scrum and Kanban.
  • Experience designing data solutions to support Artificial Intelligence and Agentic AI products.

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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