10+ years of consulting experience in data engineering, analytics, and AI initiatives.
Expertise in Databricks and Microsoft Fabric across the data and analytics continuum.
Proficient in cloud platforms Azure, AWS, and GCP, including networking and security.
Strong programming skills in SQL, Python, and distributed data processing.
Deep understanding of data management, governance, and quality.
Exceptional delivery leadership skills, including planning and stakeholder communication.
Relevant certifications in Databricks or cloud architecture.
Responsibilities
Translate business and analytics requirements into a data and AI strategy.
Architect and develop end-to-end data and analytics solutions using modern platforms.
Analyze and troubleshoot issues with existing data platforms.
Mentor a team of data engineers, developers, and data scientists.
Lead CI/CD pipeline design for data and AI workloads to ensure operational stability.
Design modern data foundations including streaming/batch pipelines and medallion architecture.
Drive client engagement through pre-sales activities and technical demonstrations.
Benefits
Comprehensive and competitive Total Rewards program.
Full Job Description
What you will do
Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement.
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft Fabric, Databricks and Snowflake (with a focus on the first two) on Azure, AWS and GCP (with a focus on the first) and lead the deployment and delivery of the solution.
Analyze, implement, and resolve issues with existing modern data platforms
Provide mentorship to a team of data engineers, software developers, and data scientists with a focus is on modern data analytics platform.
Lead the design and implementation of CI/CD pipelines for application, data, and AI workloads across environments, ensuring robust automation and operational stability.
Design modern data foundations including streaming/batch pipelines, medallion architecture, semantic layer, and data products.
Lead delivery teams through design, build, testing, and deployment, ensuring quality and operational excellence.
Drive pre-sales, partner collaboration, proposal writing, responding to RFPs, solution demos, PoCs, and technical storytelling.
Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
Own scoping, estimation, and task planning for assigned projects.
Embed data management leading practices, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability
Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
Own delivery outcomes for client engagements, including timelines, quality, and operational stability
Remaining up to date in new and emerging technologies
What you bring to the role
10+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) initiatives.
Hands-on Databricks and Fabric expertise across the whole data and analytics continuum.
Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services.
Expert skills in SQL, Python, and distributed data processing.
Deep understanding of data management including architecture, data engineering, governance, and data quality.
Strong delivery leadership including estimation, planning, and stakeholder communication.
Ability to translate business needs into technical solutions.
Relevant certifications (Databricks, Fabric or cloud architect).
You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders.
You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clients' objectives and challenges.
You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges.
You're a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice.
You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation.
You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events.
KPMG Ontario Region Pay Range Information
The expected base salary range for this position is $150,000 to $192,000 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 $140,000 to $179,500 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.
