Manager/Senior Manager, Microsoft - Data Architect, Azure

at  KPMG

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:

The successful candidate will have the following responsibilities:

• Lead 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.
• Design, develop, adapt, and maintain data warehouse architecture and relational databases that support data mining.
• Perform solution shaping and data architecture, including estimation, solution planning, and creation of statements of work to meet customer requirements.
• Support pre-sales efforts by providing product, technical, and business expertise for proposals, customer presentations, and/or tailored software demonstrations.
• Lead delivery teams and mentor a young and talented delivery team, providing them with leadership, knowledge, support, and experience.
• Stay updated with the latest developments in data architecture technologies, products, and trends.
• Identify opportunities for improvement in our data architecture processes, and proactively recommend strategies for optimization and efficiency.

What you bring to this role:

The successful candidate must have:

• 10+ years of consulting experience with data architecture for enterprise customers.
• Hands-on experience in designing and implementing large-scale data architectures and data migration projects with modern data platform.
• Experience in providing pre-sales support, including developing proposals and conducting demonstrations for data architecture solutions.
• Experience with scoping, estimating, cost analysis, and resource planning of projects.
• Experience in leading delivery teams.
• Proficiency in Data Integration (Sourcing, Storage, and Migration) and Data Quality, Profiling, and Cleansing.
• Strong understanding of cloud analytics and data management.
• Proficiency in using SQL and Python.
• Strong business acumen and ability to translate commercial requirements into technical solutions including the 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.
• Excellent communication skills.

• Lead 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.
• Design, develop, adapt, and maintain data warehouse architecture and relational databases that support data mining.
• Perform solution shaping and data architecture, including estimation, solution planning, and creation of statements of work to meet customer requirements.
• Support pre-sales efforts by providing product, technical, and business expertise for proposals, customer presentations, and/or tailored software demonstrations.
• Lead delivery teams and mentor a young and talented delivery team, providing them with leadership, knowledge, support, and experience.
• Stay updated with the latest developments in data architecture technologies, products, and trends.
• Identify opportunities for improvement in our data architecture processes, and proactively recommend strategies for optimization and efficiency