Role Overview

The Data Solution Architect designs and delivers advanced intelligent data platforms and analytics solutions for client organisations, enabling them to unlock the value of their data assets. Within client projects, the role creates architectures that ensure data is high-quality, reliable, governed, and accessible for analytics and AI initiatives, incorporating both structured and unstructured data where required. The Data Solution Architect works closely with client stakeholders to translate business needs into robust, scalable designs that support informed decision-making, ensuring solutions are optimised for performance, compliance, and long-term adaptability.

Main Responsibilities

Project Responsibilities

Drive the delivery of enterprise-grade intelligent data solutions across ingestion, transformation, storage, analytics, and governance, following industry best practices and company standards.
Own the end-to-end data architecture for assigned workstreams, making key design decisions and reviewing/producing comprehensive solution documentation.
Lead and manage a multidisciplinary data team comprising data engineers, data analysts and other specialists, ensuring cohesive and high-quality delivery.
Design and oversee data integrations between source systems, enterprise data warehouses, data lakes, cloud services, and analytics platforms.
Provide support as required, collaborating closely with engagement teams and client stakeholders to gather requirements, clarify expectations, and finalise deliverables.
Own requirement gathering and documentation, perform gap/fit analysis, and translate business needs into scalable, sustainable data solutions.
Ensure quality project delivery through solution testing, validation, and adherence to security, compliance, and governance standards.
Advise clients and delivery teams on scope management, identifying potential scope creep and applying change control processes effectively.
Deliver end-user training to clients and colleagues on data platforms, analytics processes, and governance practices where applicable.
Demonstrate capability in solution upselling, identifying opportunities for additional services or enhancements aligned with company offerings.
Exhibit strong consulting skills, including analytical thinking, written and verbal communication, facilitation, and presentation abilities.
Solve and advise on complex data challenges such as performance optimisation, data quality issues, and cross-platform integration with creative, pragmatic solutions.
Meet and exceed customer expectations through business knowledge, technical expertise, and professional conduct.
Identify business/project risks related to data security, compliance, scalability, or delivery timelines, and mitigate or communicate as necessary.
Ensure progress updates are communicated to relevant parties both formally (status reports, steering committee updates) and informally (ad-hoc discussions, chat channels).
Provide on-site support as required by the company or client.

Practice Responsibilities

Actively participate in practice development, collaborating with colleagues to create or enhance reusable tools, frameworks, and guidelines that drive excellence and innovation in Data & AI delivery.
Uphold and promote the values of our company in all professional interactions.
Always represent KPMG in a professional and positive manner.
Ensure timely completion of internal processes and mandatory training.
Carry out additional duties as may occur from time to time as instructed and agreed by senior members.
Contribute to RFP and RFQ responses, providing technical solution outlines, architectural diagrams, and effort estimates.
Willing to travel abroad when required
Provide on-site support as required by company or client
To carry out additional duties as may occur from time to time as instructed and agreed by the Practice management team
Always represent KPMG Microsoft Business Solutions in a professional and positive manner
Within your role, you have the responsibility of protecting all information that is shared with you in the course of your association with KPMG.
Excellent communication skills in English, both verbally and in writing.
Performance manage and/or mentor junior members of the team.

Experience and Background

Minimum 12 years’ relevant experience designing and delivering enterprise-scale intelligent data solutions.
Strong background in data modelling and data platform architectures.
Experience engaging with client stakeholders to translate requirements into scalable solutions.
Proven ability to present and explain technical concepts to non-technical audiences.
Ability to work under pressure and manage competing priorities.

Skills and Qualifications

Master’s degree in Computer Science, Business Analytics, or a related field, or equivalent professional experience.
Excellent communication skills in English, both verbally and in writing.
Proven experience designing enterprise-scale data architectures using tools and platforms such as Microsoft Fabric, Microsoft Power BI, Azure Data Factory, Azure Databricks, Synapse Analytics, Microsoft Purview, Entra ID, and Azure Policies.
Demonstrate deep understanding of data architecture principles, including relational and non-relational databases, ETL/ELT processes, lakehouse architectures, medallion data models (Bronze/Silver/Gold layers), master data management, metadata management, cloud architecture, security, compliance, and governance principles.
Proficiency in programming languages such as SQL, SparkSQL, Python, PySpark and DAX.
Experience with delivery platforms such as Azure DevOps and GitHub.

Benefits

Discretionary Performance Bonus
Car Allowance
Fuel Allowance
Home Internet Allowance
Company Device and Mobile Plan
Occupational Pension Scheme with monthly employer contributions
Life Insurance Coverage
Private Medical Insurance for you and your immediate family
Enhanced Special Leave Entitlements
Enhanced Annual Leave Allowance
Clear Career Progression Opportunities with continuous learning and development, exposure to cutting-edge technologies, and the opportunity to work with a diverse portfolio of global clients
Flexible Hybrid Working Arrangements

Microsoft Business Solutions Overview

At KPMG, your long-term future is every bit as important to us as it is to you. That’s why our aim is to give you experiences that will stay with you for a lifetime. Whether it’s great training and development, mobility opportunities or corporate responsibility volunteering activities – you’ll gain a wealth of experiences on which to build a rewarding career.

We’re a firm that encourages you to be yourself, values your contribution, and inspires you to act as a role model, always focused on doing the right thing for each other, our clients and our communities. This sets out all the different ways you’ll be rewarded at KPMG.

Among other things, you can benefit from honest conversations about your career as well as a range of other rewards. In all these ways and more, we have created an environment that can bring out the best in you.

Data Solution Architect

Job Description