JOB DESCRIPTION

We are seeking an experienced Data Platform Architect with deep expertise in the Microsoft cloud technology stack to join our professional services team. This role involves designing, building, and delivering scalable, secure, and high-performing data platforms for our clients using Microsoft Fabric, Databricks, and other modern data technologies. The ideal candidate will have a proven track record in data platform architecture, solution design, and client delivery.

YOUR EXPERIENCE

At KPMG, we believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients, and communities. To be considered for this opportunity, your qualifications, skills & experience should include:

• Extensive experience designing and implementing data platforms on the Microsoft cloud stack (Azure Synapse Analytics, Microsoft Fabric, Databricks, Azure Data Lake, Azure Data Factory, Azure SQL, Power BI, etc.).
• Strong expertise in data architecture patterns, including data lakes, data warehouses, lake houses, and real-time data processing.
• Proficiency in modern data engineering tools and techniques, including ELT/ETL, data pipelines, and orchestration tools.
• Solid understanding of data modelling, data governance, and data security best practices.
• Experience working in a systems integrator or professional services environment, delivering client-facing solutions.
• Strong proficiency in programming and scripting languages like SQL, Python, and Spark.
• Microsoft certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer Associate) are highly desirable.

• Leading the architecture, design, and implementation of enterprise data platforms for clients using Microsoft Fabric, Databricks, Azure Data Services, and related technologies.
• Developing end-to-end data solutions, including data ingestion, transformation, storage, and visualization layers.
• Collaborating with clients to gather requirements, assess current data environments, and define data strategies and roadmaps.
• Ensuring solutions align with industry best practices, security standards, and compliance requirements.
• Providing technical leadership and mentorship to development teams and junior architects.
• Creating and delivering architectural documentation, design patterns, and technical artifacts.
• Supporting the development of data governance frameworks and strategies for data quality, lineage, and access management.
• Driving performance optimization, scalability, and reliability in data platform architectures.
• Engaging in pre-sales activities, contributing to solution proposals, effort estimation, and technical presentations