KPMG US
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Manager, Data Engineering
role at
KPMG US .
Known for being a great place to work and build a career, 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.
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
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 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 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 and local laws.
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Manager, Data Engineering
role at
KPMG US .
Known for being a great place to work and build a career, 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.
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
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 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 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 and local laws.
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