Manager, Data Engineering

Manager, Data Engineering – KPMG US

We are looking for a Manager, Data Engineering to lead the Azure Data Lake and business intelligence teams in the Digital Nexus technology organization. This is a hybrid role.

• Lead a team of Azure Data Lake and business intelligence engineers in designing and delivering ADL Pipelines, Notebooks, and interactive Power BI dashboards that communicate actionable insights to stakeholders; contribute strategic thought leadership to shape the firm's business intelligence vision and standards.
• Design and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and deliver data across medallion architecture layers; develop production‑grade ETL/ELT solutions using PySpark and SQL to produce analytics‑ready Delta Lake datasets aligned with enterprise standards.
• Apply critical thinking and creativity to design innovative, non‑standard BI solutions that address complex and evolving business challenges; build and optimize data models to support analytics, ensuring accuracy, reliability, and efficiency.
• Stay ahead of emerging technologies, including Generative AI and AI agents, to identify novel opportunities that improve analytics, automation, and decision‑making across the enterprise.
• Manage and provide technical expertise and strategic guidance to direct reports, department peers, and cross‑functional team members; set goals, participate in strategic initiatives, and foster the development of high‑performance teams.
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment.

• Minimum five years of recent experience designing and building ADL Pipelines and Databricks notebooks, as well as interactive dashboards using modern business intelligence tools (preferably Power BI); and at least two years of recent experience building scalable data pipelines with Azure Data Factory and Azure Databricks.
• Bachelor's degree from an accredited college or university.
• Demonstrated analytical and problem‑solving abilities, with a creative and methodical approach to addressing complex challenges.
• Advanced knowledge of SQL, DAX, and data modeling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in resource planning and influence organizational priorities.
• Excellent written and verbal communication skills, including the ability to present proposals and vision to executive leadership.
• Must be authorized to work in the U.S. without requiring employment‑based visa sponsorship (no sponsorship available).

KPMG is an equal‑opportunity employer. We comply with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable law.