Data Platform Engineer

We are seeking a skilled Data Platform Engineer with expertise in the Microsoft cloud technology stack to join our professional services team. This role involves 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 experience in data platform engineering, data governance, and solution delivery.

Your Opportunity

As a member of our Technology, Applications & Systems Integration team, the Data Platform Engineer will play a crucial role to:

• Implement data solutions, including data ingestion, transformation, storage, and visualization layers using Microsoft Fabric, Databricks, Azure Data Services, and related technologies.
• Develop and maintain data pipelines and data integration processes.
• Collaborate with clients to gather requirements, assess current data environments, and support data strategies and roadmaps.
• Ensure solutions align with industry best practices, security standards, and compliance requirements.
• Provide technical guidance and collaborate with development teams.
• Create technical documentation and assist in the development of data governance frameworks and strategies for data quality, lineage, and access management.
• Utilize Microsoft Purview for data governance tasks such as data classification, lineage tracking, and policy enforcement.
• Drive performance optimization, scalability, and reliability in data platform implementations.

How are you extraordinary?

• You have attention to detail and focus on high-quality output
• You are experienced and comfortable with dealing with ambiguity
• You have demonstratable experience in solving complex problems

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:

• Experience 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.).
• Knowledge of data engineering practices, including ELT/ETL, data pipelines, and orchestration tools.
• Understanding of data modeling, data governance, and data security best practices.
• Familiarity working in a systems integrator or professional services environment.
• Proficiency in programming and scripting languages like SQL, Python, and Spark.
• Microsoft certifications (e.g., Azure Data Engineer Associate) are desirable.

KPMG is a professional services firm with global outreach and deep sector experience. We work with clients across an array of industries to solve complex challenges, steer change and enable growth.

Our people are what make KPMG the thriving workplace that it is and what sets us apart is that we know great minds think differently. Collaborate with a team of passionate, highly skilled professionals who’ve got your back. You’ll build relationships with unique and diverse colleagues who will provide you with the support you need to be your best and produce meaningful and impactful work in an inclusive, equitable culture.

At KPMG, you’ll take control over how you work. We’re embracing a new way of working in many ways, from offering flexible hours and locations to generous paid parental leave and career breaks. Our people enjoy a variety of exciting perks, including retail discounts, health and wellbeing initiatives, learning and growth opportunities, salary packaging options and more.

Diverse candidates have diverse needs. During your recruitment journey, information will be provided about adjustment requests. If you require additional support before submitting your application, please contact the Talent Support Team.

At KPMG every career is different, and we look forward to seeing how you grow with us.