Senior Manager, Data Platform(s) Architect, Data & AI

KPMG

$150K — $192K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years consulting experience in data engineering, analytics, and AI initiatives.
  • Hands-on Databricks and Fabric expertise across the data continuum.
  • Proficient in Azure, AWS, and GCP, with a focus on identity, networking, security, and data integration.
  • Expertise in SQL, Python, and distributed data processing.
  • Deep understanding of data management practices, including architecture and governance.
  • Relevant certifications in Databricks, Fabric, or cloud architecture are preferred.
  • Exceptional leadership and communication skills, with experience managing diverse teams.

Responsibilities

  • Collaborate with cross-functional teams to develop data and AI strategies.
  • Architect and implement end-to-end data and analytics solutions using modern platforms.
  • Resolve technical issues with existing modern data platforms.
  • Mentor a team of data engineers, software developers, and data scientists.
  • Lead CI/CD pipeline design for data and AI workloads, ensuring operational stability.
  • Design data foundations including streaming/batch pipelines and medallion architectures.
  • Oversee project delivery ensuring quality and meeting client timelines.

Benefits

  • Comprehensive and competitive Total Rewards program.
  • Opportunities for professional development and skill enhancement.
  • Participation in community events to enhance professional presence.
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.

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