KPMG US
Manager, Data Operations, Data Engineer
at
KPMG US
KPMG is known for being a great place to work and build a career. Our growth is driven by delivering real results for our clients, supported by an inclusive environment that rewards innovation and supports communities.
KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity.
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 seven 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 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)
Benefits & Compensation KPMG offers a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. The benefits include medical, dental, vision, disability and life insurance, 401(k) plans, and a robust suite of personal well‑being benefits. 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 and provides eligible employees two breaks each year: one at year end and one around the July 4th holiday.
Salary ranges are displayed on our Careers site. Candidates will be compensated based on relevant factors such as skills, responsibilities, experience, and market conditions.
KPMG complies with all local and state regulations regarding salary transparency.
KPMG offers a comprehensive compensation and benefits package. 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.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role for which they are qualified.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the California Fair Chance Act and related ordinances, we will consider qualified applicants with arrest and conviction records.
#J-18808-Ljbffr
at
KPMG US
KPMG is known for being a great place to work and build a career. Our growth is driven by delivering real results for our clients, supported by an inclusive environment that rewards innovation and supports communities.
KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity.
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 seven 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 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)
Benefits & Compensation KPMG offers a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. The benefits include medical, dental, vision, disability and life insurance, 401(k) plans, and a robust suite of personal well‑being benefits. 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 and provides eligible employees two breaks each year: one at year end and one around the July 4th holiday.
Salary ranges are displayed on our Careers site. Candidates will be compensated based on relevant factors such as skills, responsibilities, experience, and market conditions.
KPMG complies with all local and state regulations regarding salary transparency.
KPMG offers a comprehensive compensation and benefits package. 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.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role for which they are qualified.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the California Fair Chance Act and related ordinances, we will consider qualified applicants with arrest and conviction records.
#J-18808-Ljbffr