Manager, Data Operations, Data Engineer
Listed on 2025-11-20
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IT/Tech
Data Science Manager, Data Analyst, Data Engineer
Join to apply for the Manager, Data Operations, Data Engineer role at KPMG US
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Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today’s most important industries. Our growth is driven by delivering real results for our clients and is supported by an inclusive culture that encourages development, rewards innovation and supports our communities.
KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity.
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; 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 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 seven years of recent experience designing and building ADL pipelines and Databricks notebooks and interactive dashboards using modern BI tools (preferably Power BI); at least two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks.
- Bachelor’s degree from an accredited college or university is preferred; a high school diploma or GED is required.
- Demonstrated analytical and problem‑solving abilities, with a creative and methodical approach to 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 present proposals and vision to executive leadership.
- 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 U.S. work visa status for this opportunity.
KPMG provides a comprehensive, competitive benefits package designed to support your health, well‑being and financial future. Benefits include medical, dental, vision, disability and life insurance, 401(k) plans, personal well‑being programs, paid time off, and a calendar of observed holidays.
EEO StatementKPMG is an equal opportunity employer. KPMG complies 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 federal, state or local laws.
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