Manager, Data Engineering

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KPMG is known for being a great place to work and build a career, providing audit, tax and advisory services across today’s most important industries. Our growth is driven by delivering real results for our clients, with a culture that encourages individual development, embraces inclusion, rewards innovative excellence and supports our communities.

This is a hybrid work opportunity.

• Lead a team of Azure Data Lake and business intelligence engineers in designing and delivering ADL Pipelines, notebooks, and interactive Power BI dashboards that clearly 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 counselees (direct reports), department peers, and cross‑functional team members; set goals, participate in strategic initiatives for the team, 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 and interactive dashboards using modern BI tools (preferably Power BI); minimum two years designing scalable data pipelines using Azure Data Factory and Azure Databricks across medallion architecture layers.
• Bachelor’s degree from an accredited college or university is required.
• 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 defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organizational priorities.
• Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership.
• Must be authorized to work in the U.S. without the need for employment‑based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work‑visa status for this opportunity (no sponsorship is available for H‑1B, L‑1, TN, O‑1, E‑3, H‑1B1, F‑1, J‑1, OPT, CPT or any other employment‑based visa).

KPMG offers a comprehensive, competitive benefits package, including medical, dental and vision plans, disability and life insurance, 401(k) plans, and personal well‑being benefits to support mental health. Depending on work hours, years of service and the specific role, KPMG provides Personal Time Off and a calendar of holidays with additional breaks. For salary ranges by city, view the URL:

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 federal, state or local laws. No phone calls or agencies, please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified and are of interest.