Overview:
At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.
Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?
Our Microsoft team is looking for a professional like you with the skills and drive to make a real difference.
The KPMG Microsoft practice is currently one of our fastest growing practices and we are seeing tremendous client demand across various sectors.
Our mission is to enable clients to harness the full potential of Microsoft Fabric, unlocking the power of their data and driving business transformation through AI-driven solutions. As a member of our team, you’ll have the chance to work with cutting-edge technology, tackle complex data challenges, develop your skills, and contribute to business growth and innovation in a dynamic and diverse work environment.

What you will do:

• Contribute to the design and development of enterprise-level data solutions, including data warehouses, data lakes, and real-time analytics platforms, using Microsoft Fabric and Microsoft Azure
• Actively participate in the conceptualization, design, and implementation of data architecture solutions, including estimation, solution planning, and creation of statements of work to meet customer requirements and outcomes.
• Design, develop and produce data models of relatively high complexity, leveraging a sound understanding of data modeling standards to ensure high quality.
• Assist in the delivery of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using strong technical capabilities.
• Support pre-sales efforts by providing expertise on our data solutions, software demonstrations for proposals and customer presentations, and by building assets and accelerators.
• Stay up to date with the latest developments in data architecture and engineering technologies, products, and trends.
• Identify opportunities for improvement in our data architecture and engineering processes, and proactively recommend strategies for optimization and efficiency.

What you bring to this role:
-
- 5+ years of proven consulting experience with data architecture and data engineering for enterprise customers.
- Hands-on experience in designing and implementing large-scale data architectures, engineering solutions, and data migration projects.
- Experience in providing pre-sales support, including developing proposals and conducting demonstrations for data architecture and engineering solutions.
- Proficiency in Data Integration (Sourcing, Storage and Migration) and Data Quality, Profiling and Cleansing
- Experience in creating BI visualizations, dashboards and reports using Power BI.
- Strong understanding of cloud analytics and data management.
- Proficiency in using SQL and Python.
- Good business acumen and ability to translate commercial requirements into technical solutions including ability to communicate technical concepts and their impact to stakeholders at all levels.
- Hands on experience with data processing and analytics using Azure Data Factory, Azure Synapse, Azure Data Lake or Azure Databricks is a plus
- Knowledge of Microsoft Fabric is a plus
- A university degree with a preference for Computer Science or related field.
- Microsoft Certifications on Microsoft Fabric and Azure Data Engineer are highly desirable

• Contribute to the design and development of enterprise-level data solutions, including data warehouses, data lakes, and real-time analytics platforms, using Microsoft Fabric and Microsoft Azure
• Actively participate in the conceptualization, design, and implementation of data architecture solutions, including estimation, solution planning, and creation of statements of work to meet customer requirements and outcomes.
• Design, develop and produce data models of relatively high complexity, leveraging a sound understanding of data modeling standards to ensure high quality.
• Assist in the delivery of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using strong technical capabilities.
• Support pre-sales efforts by providing expertise on our data solutions, software demonstrations for proposals and customer presentations, and by building assets and accelerators.
• Stay up to date with the latest developments in data architecture and engineering technologies, products, and trends.
• Identify opportunities for improvement in our data architecture and engineering processes, and proactively recommend strategies for optimization and efficiency