Manager, Data Operations, Data Engineer

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. It’s enabled by a culture that encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it’s no wonder we’re consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair
360 and others.

KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. 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; 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 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 business intelligence tools (preferably Power BI); 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 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 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
• Applicants 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 that includes medical, dental, vision, disability and life insurance, a 401(k) plan, and a range of personal well‑being benefits to support mental health. Eligibility varies by position and tenure. Detailed information is available on the KPMG US Careers site.

KPMG is an equal‑opportunity employer. We comply with all applicable federal, state and local laws regarding recruitment and hiring, and 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 law.