Manager, Data Operations, Data Engineer

Manager, Data Operations, Data Engineer – KPMG US

KPMG is known for its strong culture, inclusive environment, and innovative excellence. We provide audit, tax, and advisory services to organizations in today’s most important industries, and our growth is driven by delivering real results for our clients.

This role is a hybrid work opportunity within the Digital Nexus technology organization.

• Leading 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; contributing strategic thought leadership to shape the firm’s business intelligence vision and standards.
• Designing and maintaining scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and deliver data across medallion architecture layers; developing production‑grade ETL/ELT solutions using PySpark and SQL to produce analytics‑ready Delta Lake datasets aligned with enterprise standards.
• Applying critical thinking and creativity to design innovative, non‑standard BI solutions that address complex and evolving business challenges; building and optimizing data models to support analytics, ensuring accuracy, reliability, and efficiency.
• Staying ahead of emerging technologies including Generative AI and AI agents to identify novel opportunities that improve analytics, automation, and decision‑making across the enterprise.
• Managing and providing technical expertise and strategic guidance to direct reports, department peers and cross‑functional team members; setting goals, participating in strategic initiatives for the team and fostering the development of high‑performance teams.
• Acting 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 Brick 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 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. KPMG provides a comprehensive benefits package and operates as a federal contractor for multiple agencies.