Data Architect-Manager

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

About the role:

PwCs Data & AI Consulting team is rapidly expanding as we invest in building a new generation of Artificial Intelligence (AI) products that transform how we deliver value to our clients. Were recognised by industry analysts such as Gartner and IDC as a market-leading Data & AI services consultancy and are actively working with clients to design develop and deliver AI-powered products and data capabilities that achieve tangible outcomes and business value.

Were looking for self-starting progressive and inquisitive individuals who want to shape the future of how AI is applied in real business contexts. Youll join a collaborative and entrepreneurial team that combines deep technical expertise with sector knowledge and product thinking. We work in cross-functional squads to design build and launch solutions that create measurable impact for our clients and strengthen PwCs position as a leader in trusted responsible AI.

If you want to apply your skills to complex challenges help define new products and be part of an ambitious team thats re-imagining the role of AI in professional services this could be the role for you.

What your days will look like:

Contributing 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.

Supporting the definition of end-to-end data architecture approaches including data modelling patterns integration methods lineage quality metadata management and MDM ensuring solutions are secure scalable and aligned to client needs.

Participating in architectural discovery and helping shape data workstreams contributing to technical delivery approaches across Azure AWS GCP or Snowflake environments.

Working as part of cross-functional product squads - including Data Engineers Data Strategist AI specialists and Business SMEs- to design build and provide technical assurance for data-driven architectures

Engaging with client stakeholders to understand business challenges gather data requirements evaluate technical options and contribute to clear value-led recommendations.

Collaborating with engineering teams to translate data architecture designs into practical solutions supporting modelling pipelines integration patterns and cloud platform components through delivery

Contributing to data strategy discussions and architectural roadmaps helping clients enhance their data landscape and enable modern analytics and AI capabilities.

This role is for you if:

Proven experience in enterprise architecture including:

Hands-on experience designing and delivering platform-agnostic data architectures working with cross-functional teams to build data models pipelines and semantic layers.

An understanding of how data modelling and architecture decisions support business outcomes and sector-specific needs.

Experience contributing to technology evaluations and able to articulate key considerations trade-offs and suitability for client environments.

Good working knowledge of data governance lineage quality frameworks and MDM 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: impactful communication structured problem-solving adaptability and the ability to navigate ambiguity and deliver under pressure.

Youll bring strong technical capability across:

o Design expertise in core data architecture disciplines including data modelling (proficient in at least one data modelling tool e.g. Erwin or ER Studio) metadata management data migration and master data management

o Experience applying data architecture approaches to ingest model and serve data from a range of enterprise systems such as ERP (Oracle SAP) CRM (Salesforce) and HR systems (Workday)

o Practical knowledge of core data ETL and visualisation skills- for example using non structured and structured storage and database solutions native to the cloud providers

o Technical interest in one or more of the following areas: Master Data Management tools such as Informatica writing API specs in JSON and integrating with tools such as MuleSoft.

Nice to have skills for this role include:

o Experience in Agile delivery and Agile techniques such as Scrum and Kanban

o Certifications in Data Architecture (e.g. TOGAF / Cloud Certifications)

o Experience designing data solutions to support Artificial Intelligence (AI) and Agentic AI products.

What youll receive from us:

No matter where you may be in your career or personal life our benefits are designed to add value and support recognising and rewarding you fairly for your contributions.

We offer a range of benefits including empowered flexibility and a working week split between office home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.

Education (if blank degree and/or field of study not specified)

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date