Manager, Data Engineering

Manager, Data Engineering at KPMG US

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, supported by a culture that encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. If you are as passionate about your future as we are, join our team.

KPMG is currently seeking a Manager, 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 optimise 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.

• Minimum five years recent experience designing and building ADL Pipelines and Databricks notebooks and interactive dashboards using modern business‑intelligence tools (preferably Power BI); minimum two years 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, competitive benefits package, including medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well‑being benefits to support mental health. Depending on job classification, standard work hours and years of service, KPMG provides personal time off per fiscal year. Each year, KPMG publishes a calendar of holidays to be observed, and provides eligible employees two breaks per year where personal time در off is not required.

KPMG is an equal‑opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion PACK AG, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status or any other category protected under applicable federal, state or local laws.

Mid‑Senior level

Full‑time

Information Technology