University degree in computer engineering, computer science, mathematics, data science, or related fields.
4+ years in Data Engineering, Analytics Engineering, or Business Intelligence.
2+ years hands-on with Microsoft Fabric or Azure Data Engineering services.
Strong proficiency in SQL with knowledge of data modeling and warehousing.
Proficient in Python for data processes and automation.
Experience with Spark-based processing and data development notebooks.
Knowledge of data governance and security within Microsoft ecosystems.
Responsibilities
Partner with clients to define business goals and translate into technical designs using Microsoft Fabric.
Develop end-to-end data strategies for ingestion, transformation, and analytics.
Design scalable architectures for analytics platforms with Microsoft Fabric.
Lead delivery of data platforms, including Fabric Lakehouse and Real-Time Analytics.
Create data ingestion and transformation pipelines leveraging Fabric tools.
Implement medallion architecture patterns within Fabric Lakehouse.
Build and optimize semantic models for analytics in Power BI.
Benefits
Comprehensive and competitive Total Rewards program including bonuses.
Support for professional development and certifications in Microsoft technologies.
Full Job Description
What you will do
Partner with clients to understand business goals, gather requirements, and translate them into actionable technical designs and delivery plans using Microsoft Fabric.
Work with engagement teams to translate business and analytics requirements into end-to-end data strategies, including ingestion, transformation, semantic modeling, and analytics enablement.
Contribute to solution architecture design for repeatable, scalable, and cost-optimized analytics platforms using Microsoft Fabric components.
Lead delivery of modern data platforms leveraging Fabric Lakehouse, Data Warehouse, Data Engineering, and Real-Time Analytics workloads.
Design and implement data ingestion and transformation pipelines using Fabric Data Factory, notebooks, and Spark.
Implement medallion architecture patterns (Bronze, Silver, Gold) using Fabric Lakehouse and OneLake.
Develop scalable batch and streaming pipelines using Spark, Eventstreams, and real-time ingestion patterns.
Build and optimize semantic models for downstream analytics and reporting in Power BI.
Apply CI/CD and engineering best practices including version control, automated deployment, testing, and release management for Fabric workloads.
Establish and operationalize governance across Fabric using Microsoft Purview, role-based access control, and data lineage.
Support testing, performance tuning, and production releases across Fabric workloads.
Proactively contribute to creation of presentation materials and client-facing documentation related to data and analytics initiatives.
Provide technical leadership and mentorship to junior team members.
What you bring to the role
University degree in computer engineering, computer science, mathematics, data science, or related disciplines.
4+ years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.
2+ years of hands-on experience with Microsoft Fabric or Azure Synapse / Azure Data Engineering services.
Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
Proficiency in Python (or similar languages) for data processing, automation, and analytics workflows.
Hands-on experience with Spark-based data processing and notebook-driven development.
Experience with Fabric Lakehouse, Data Warehouse (SQL Endpoint), OneLake, and semantic modeling.
Experience supporting data platform modernization and Azure-based migration initiatives.
Experience applying CI/CD practices to data and analytics solutions.
Strong understanding of data governance, security, and access control within Microsoft ecosystems.
Experience collaborating with cross-functional teams to solve complex data challenges.
Familiarity with Power BI and downstream analytics enablement.
Certifications (Preferred)
Microsoft Certified: Fabric Analytics Engineer Associate
Microsoft Certified: Azure Data Engineer Associate
Power BI Data Analyst certification
Other relevant Microsoft Azure or data engineering certifications
KPMG Ontario Region Pay Range Information
The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicant's base salary within this range is based on the individual's location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
KPMG BC Region Pay Range Information
The expected base salary range for this position is $73,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant's base salary within this range is based on the individual's location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
