Manager, Data Engineering
Listed on 2026-01-14
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IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Overview
KPMG US is seeking a Manager, Data Engineering to join our Digital Nexus technology organization. This hybrid role leads a team of Azure Data Lake and business intelligence engineers in designing and delivering data pipelines, notebooks, and interactive Power BI dashboards that provide actionable insights to stakeholders.
Responsibilities- 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; design, 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.
- Minimum five years of recent experience designing and building ADL Pipelines and Databricks notebooks and interactive dashboards using modern business intelligence tools; minimum two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks to support ingestion, transformation, and delivery of data across medallion architecture layers.
- Bachelor’s degree from an accredited college or university is preferred. Minimum of a 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 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 compensation and benefits package, including medical, dental, vision, disability, life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Standard work hours and personal time off are provided. Additional benefit details are available on the KPMG US Careers site.
Equal Opportunity EmploymentKPMG is an equal opportunity employer. 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.
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