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Manager - Data Architect, Data Architecture + Engineering

Date: Jun 17, 2021

Location: London, United Kingdom

Company: KPMG UK

The Team

The Data Architect will work within Data Architecture + Engineering, one of the teams under Digital Lighthouse. The role of the team is to deliver data-centric solutions using a consistent, accelerated, efficient methodology blended across the UK and India (KGS). Our work involves the transformation of an organisation’s data management as well as embedding analytics to support their digital transformation and strategy. Our customers benefit from increased automation, efficiency and quality, saving them time and cost and unlocking latent value from their data.
We specialise in the following areas:
• Data Strategy, Architecture and Governance
• Data Management and Security
• Data Modelling
• Data Warehousing and Business Intelligence
• Data Integration
• Data Platforms
• Data Quality and Integrity
• Reporting and Analytics
• Data Visualisation and Storytelling.
We base our solutions around the Microsoft Azure stack, augmented with additional vendor products as and when required. We work with our customers and other KPMG teams in an open, collaborative manner; we share knowledge; we thrive on challenge; we continually learn; we understand when we collectively succeed, we individually succeed; and we have fun doing it.

The Role
We established our team two years ago. Due to our continued success, we have a healthy, increasing demand pipeline meaning we need to grow the team further.
The Data Architect will work closely with customers to define and agree requirements. They will architect, design, cost and plan solutions and will support delivery teams as those solutions are implemented into live service. They will report into and support the Principal Data Architects as the team is managed on a day to day basis and strategic outcomes are delivered. They will lead and mentor junior members of the team. They will build strong networks in KPMG UK and globally.

The Person
• Experience in several or all of the areas described above
• Experience in architecting, designing and implementing solutions in the Microsoft Azure stack using technologies such as Azure Data Factory, Databricks, SQL Server, Synapse Analytics, Analysis Services and Power BI
• Skilled in data modelling across both operational (OLTP) and analytical (OLAP) use cases
• Experience of Alteryx, Qlik, Tableau and the AWS and GCP platform stacks is an advantage
• Experience of working across end-to-end software development, technology or consulting projects (strategy, discovery, design, development and deployment)
• Experience explaining complex processes and circumstances in technical and non-technical terms to ensure all understand
• A talent for clear, concise communication and getting your point across, both verbal and in written format
• Experience in working with both Agile and Waterfall methodologies and familiarity with the benefits and risks of each
• The ability to work in a fast-paced environment with minimal supervision, handle quickly changing priorities, and be capable of managing yourself to achieve maximum results
• Strong stakeholder management with a history of building solid relationships with customers and team members
• Strong people skills, able to engage with a wide range of stakeholders at all levels
• Ability to support a working culture characterised by collaboration, continuous improvement and commitment to high performance
• Organised and meticulous, tenacious and consistent.


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