Data & AI Solution Architect at KPMG Finland

Helsinki, Uusimaa, Finland -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data architecture, AI architecture, Data engineering, Data science, Analytics engineering, Data governance, Cloud-native architecture, Microsoft Fabric, Azure Data & AI services, Data modelling, Machine learning workflows, Data security, Privacy principles, Architectural thinking, Stakeholder communication, GenAI

Industry

Business Consulting and Services

Description

At KPMG we believe sharing the same values is key in career satisfaction, growth and feeling engaged. Our organizational culture is based on our values. We act with integrity, think boldly and are driven by a passion for excellence. We respect the individual and always work together for better. We are looking for a Data & AI Solution Architect to join our Business Transformations team! As a Data & AI Solution Architect, you will be part of KPMG’s Data & AI community, a multidisciplinary team of data scientists, engineers, architects, and business advisors working closely together with KPMG’s global network, alliance partners and complex enterprise environments. Our team brings together deep technical expertise, strong architectural thinking, and business understanding. This role combines hands‑on technical depth with strong architectural thinking bridging business requirements, analytics, and platform design. As a Data & AI Solution Architect, you will * Design modern, scalable data and AI architectures that support analytics, AI/ML, and GenAI use cases at enterprise scale * Translate business and analytical requirements into robust, secure, and scalable solution designs * Architect data platforms covering ingestion, transformation, storage, analytics, and AI consumption * Design and support implementation of data pipelines and transformation frameworks, and collaborate with data scientists to ensure solutions are production‑ready * Design and promote trusted data foundations, incorporating governance, quality, metadata, lineage, and access controls by default * Contribute to cross‑border Nordic client engagements and the continuous development of KPMG’s Data & AI offerings and accelerators You’re a strong candidate if you have * Higher education degree combining data, technology, and business * At least 10 years of experience in relevant consulting or transformation projects * Strong experience in data engineering, data science, or analytics engineering with architectural responsibility, and understanding of data governance, security, privacy, and responsible AI principles * Hands‑on experience designing and building modern data platforms and AI solutions, and solid understanding of data modelling, analytics architectures, and ML/AI workflows * Experience with leading data and AI platforms: Microsoft Fabric, Purview, Azure Data & AI services are seen as a strong advantage * Familiarity with cloud‑native data engineering patterns and scalable architectures * Full professional fluency in both Finnish and English You’ll help our teams and clients succeed if you have * Strong analytical and architectural thinking with attention to scalability and long‑term sustainability * The ability to clearly communicate complex technical topics to with technical and business stakeholders * A collaborative mindset and enjoyment of working in multidisciplinary, international teams * Curiosity and motivation to stay current on emerging data, AI, and platform capabilities * A quality‑focused, responsible approach to data, security, privacy, and AI What we offer to you An interesting field of work in a large international expert organization and the opportunity to participate in building the business of the future at KPMG. Your colleagues at the Business Transformation team are the top experts of the field, you have access to modern work tools and a wide selection of training. Working side-by-side with KPMG’s broad spectrum of professionals will expand your practical understanding of finance and business. To ensure work-life balance, working with us is flexible so you can organize your work and, most importantly, the rest of your life as suits you the best. KPMG offers you versatile employee benefits and wide selection of services that support occupational well-being. This is a permanent full-time position, and the starting date is negotiable. The position is based in our office in Helsinki, Töölönlahdenkatu 3A. Do you want to make a difference with us? If you recognized yourself from the description, please fill out the application as soon as possible but no later than May 10th, 2026. We encourage you to apply right away as our recruitment is ongoing and the position will be filled when a suitable candidate is found. For further information regarding this position and team, please contact Business Transformations Partner Kari Järnström kari.jarnstrom@kpmg.fi. For further information regarding the recruitment, please contact Talent Acquisition Advisor Johanna Laitinen, johanna.laitinen@kpmg.fi / 358 44 485 4484. For GDPR-reasons we do not accept applications by email. In case you require assistance with the recruitment process due to a disability, please reach out to us. If needed, we can provide reasonable accommodations. KPMG is one of Finland’s leading professional services organizations, providing audit, tax, legal and advisory services. In 2026, KPMG Finland celebrates its 100th anniversary, marking a century of Making the Difference through trust, quality and meaningful impact. Founded in Helsinki in 1926, KPMG Finland has grown from a local audit practice into a member firm of the global KPMG network, while remaining deeply rooted in its local heritage. Today, KPMG Finland employs approximately 1,700 professionals across 20 offices in Finland and Estonia, working with clients to navigate change and create long-term value.

Responsibilities

You will design modern, scalable data and AI architectures that support enterprise-level analytics, ML, and GenAI use cases. Additionally, you will translate business requirements into robust solution designs while collaborating with multidisciplinary teams to ensure production-ready data pipelines.