Manager, Data Engineering

Manager, Data Engineering – KPMG US (Digital Nexus technology organization). Hybrid work opportunity.

KPMG is a global professional services firm known for its culture and inclusive environment. We invite applicants who share our passion for success.

• 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, peers, and cross‑functional team members; set goals, participate in strategic initiatives for the team, and foster the development of high‑performance teams.

• Minimum five years of recent experience designing and building ADL Pipelines, Databricks notebooks, and interactive dashboards using modern BI tools (preferably Power BI); minimum two years designing scalable data pipelines with Azure Data Factory and Azure Databricks.
• Bachelor’s degree preferred; minimum high‑school diploma or GED 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 in defining, managing, and delivering BI projects; ability to 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 the need for employment‑based visa sponsorship; 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.

Mid‑Senior level

Full‑time

Information Technology

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KPMG is an equal‑opportunity employer. KPMG complies with all applicable federal, state, and local laws. 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.

We offer a comprehensive compensation and benefits package, including medical, dental, vision, disability, life insurance, 401(k), and well‑being programs. KPMG provides personal time off, holidays, and breaks per fiscal year.

Recruitment is rolling; positions are filled as qualified applications are received.