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KPMG US

Manager, Data Engineering

KPMG US, Tampa, Florida, us, 33646

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Manager, Data Engineering

role at

KPMG US .

KPMG is a global professional services firm providing audit, tax and advisory services. We are seeking a Manager, Data Engineering to join our Digital Nexus technology organization. This hybrid role is based in Tampa, FL.

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 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 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

Qualifications

Minimum five 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 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 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)

Salary & Benefits KPMG offers a comprehensive compensation and benefits package, including medical, dental, vision, disability, life insurance, 401(k) plans and a strong suite of well‑being benefits. Individual benefit eligibility is based on role, location and years of service. For more information on salary ranges, visit: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=6695_9_25

Equal Employment Opportunity KPMG is an equal‑opportunity employer. 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 and local laws.

All qualified applicants are considered for employment with no requirement for a background check or reference admissions. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. No phone calls or agencies please.

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