KPMG US
KPMG is a leading professional services firm that delivers audit, tax and advisory solutions for organizations in today's most important industries.
Known for its strong culture of individual development, inclusive environment, and innovative excellence, KPMG consistently ranks among the best places to work by Fortune, Consulting Magazine, Seramount, Fair360 and others.
KPMG is currently seeking a
Manager, Data Engineering
to join our Digital Nexus technology organization.
This hybrid role supports the firm’s data and intelligence vision across multiple cloud platforms.
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, and 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, producing analytics‑ready Delta Lake datasets aligned with enterprise standards.
Apply critical thinking and creativity to develop innovative BI solutions that address complex business challenges, building and optimizing data models to support analytics with 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, departmental peers, and cross‑functional teams; set goals, participate in strategic initiatives, and foster the development of high‑performance teams.
Qualifications
Minimum five years’ recent experience designing and building ADL Pipelines, Databricks notebooks, and Power BI dashboards; at least two years designing scalable data pipelines with Azure Data Factory and Azure Databricks in a medallion architecture.
Bachelor’s degree preferred; a high‑school diploma or GED is required.
Demonstrated analytical and problem‑solving abilities with a creative, methodical approach to complex challenges.
Advanced knowledge of SQL, DAX, and data‑modeling concepts; proven track record in defining, managing, and delivering BI projects with influence on organizational priorities.
Excellent written and verbal communication skills, including presenting 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; no sponsorship is available for any visa category.
Benefits: KPMG offers a competitive compensation and benefits package with medical, dental, vision, disability, life insurance, 401(k) plans, and a suite of personal well‑being benefits.
Eligibility for family-friendly policies and time‑off benefits is based on job classification, standard work hours, and years of service.
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.
No phone calls or agencies please.
#J-18808-Ljbffr
Known for its strong culture of individual development, inclusive environment, and innovative excellence, KPMG consistently ranks among the best places to work by Fortune, Consulting Magazine, Seramount, Fair360 and others.
KPMG is currently seeking a
Manager, Data Engineering
to join our Digital Nexus technology organization.
This hybrid role supports the firm’s data and intelligence vision across multiple cloud platforms.
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, and 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, producing analytics‑ready Delta Lake datasets aligned with enterprise standards.
Apply critical thinking and creativity to develop innovative BI solutions that address complex business challenges, building and optimizing data models to support analytics with 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, departmental peers, and cross‑functional teams; set goals, participate in strategic initiatives, and foster the development of high‑performance teams.
Qualifications
Minimum five years’ recent experience designing and building ADL Pipelines, Databricks notebooks, and Power BI dashboards; at least two years designing scalable data pipelines with Azure Data Factory and Azure Databricks in a medallion architecture.
Bachelor’s degree preferred; a high‑school diploma or GED is required.
Demonstrated analytical and problem‑solving abilities with a creative, methodical approach to complex challenges.
Advanced knowledge of SQL, DAX, and data‑modeling concepts; proven track record in defining, managing, and delivering BI projects with influence on organizational priorities.
Excellent written and verbal communication skills, including presenting 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; no sponsorship is available for any visa category.
Benefits: KPMG offers a competitive compensation and benefits package with medical, dental, vision, disability, life insurance, 401(k) plans, and a suite of personal well‑being benefits.
Eligibility for family-friendly policies and time‑off benefits is based on job classification, standard work hours, and years of service.
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.
No phone calls or agencies please.
#J-18808-Ljbffr