Manager, Data Operations, Data Engineer

Manager, Data Operations, Data Engineer – KPMG US

KPMG is a leading professional services firm that offers audit, tax and advisory services for organizations in today’s most important industries. Known for its culture of development, inclusivity, innovation and community support, KPMG is consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine and others. This role is a hybrid work opportunity within the Digital Nexus technology organization.

• 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 seven years of recent experience designing and building ADL Pipelines and Data Bricks 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, including medical, dental, vision, disability and life insurance, 401(k) plans, and a robust suite of personal well‑being benefits. Standard work hours, personal time off, holidays and additional benefits are based on eligibility and job classification.

KPMG 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.

Mid‑Senior level

Full‑time

General Business

Referrals increase your chances of interviewing at KPMG US by 2x.