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KPMG

Global audit, tax, and advisory services

Manager Data Platform - Data & AI

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 8 years of consulting experience leading data engineering, analytics, and artificial intelligence initiatives, including data and data-platform architecture, design, implementation, and/or support of complex, scalable, and repeatable data and application architectures.
  • Hands-on expertise with Databricks and Microsoft Fabric across the data and analytics continuum.
  • Cloud proficiency in Azure, AWS, and Google Cloud Platform, 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.
  • Comfort leading diverse teams, overseeing multiple engagements, and managing and coordinating stakeholder expectations.
  • Ability to deliver professional communications, presentations, reports, and documentation.

Responsibilities

  • Work with cross-functional engagement teams to translate business and analytics requirements into a data, analytics, and artificial intelligence strategy and requirements for the engagement.
  • Architect and develop end-to-end designs for data and analytics solutions across data lakes, data warehouses, data lakehouses, and pipelines on modern data platforms such as Microsoft Fabric, Databricks, and Snowflake, focusing primarily on Fabric and Databricks, on Azure, AWS, and Google Cloud Platform, focusing primarily on Azure; lead solution deployment and delivery.
  • Analyze existing modern data platforms, implement changes, and resolve issues.
  • Provide mentorship to data engineers, software developers, and data scientists, focusing on modern data analytics platforms.
  • Lead the design and implementation of continuous integration and continuous delivery pipelines for application, data, and artificial intelligence workloads across environments to ensure robust automation and operational stability.
  • Design modern data foundations, including streaming and batch pipelines, medallion architecture, semantic layers, and data products.
  • Lead delivery teams through design, build, testing, and deployment to ensure quality and operational excellence.
  • Drive presales, partner collaboration, proposal writing, responses to requests for proposals, solution demonstrations, proofs of concept, and technical storytelling.
  • Develop accelerators, ingestion frameworks, continuous integration and continuous delivery and machine learning operations templates, and platform standards.
  • Own scoping, estimation, and task planning for assigned projects.
  • Embed data management best practices, including data architecture design and data modeling, master data, metadata, data security, privacy, data quality management, data operations, data integration, and interoperability.
  • Own delivery outcomes for client engagements, including timelines, quality, and operational stability.
  • Stay up to date with new and emerging technologies.

Desired Qualifications

  • Relevant certifications in Databricks, Microsoft Fabric, or cloud architecture.

About the Company

KPMG

Global audit, tax, and advisory services

KPMG is a global network of independent professional firms that provide Audit, Tax, and Advisory services. Its work involves helping organizations verify financial information, manage tax obligations, and solve business problems through advisory support, risk management, and performance improvement. Services are delivered by cross-border teams across a worldwide network, with an emphasis on consistency and collaboration among member firms. KPMG distinguishes itself through its history as a series of international mergers that created a large, integrated firm with a shared global standard and brand, rather than a single locally owned entity. Its goal is to help clients navigate complex regulations, improve performance, and achieve sustainable growth across multiple markets.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
1987

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