KPMG US
Manager, Data Engineering – Digital Nexus
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 and by a culture that encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. It is this culture that consistently ranks us among the best companies to work for.
KPMG is currently seeking a Manager, 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 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 counter‑sees (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 modelling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organisational 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)
Benefits We are proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family and your lifestyle. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans and a robust suite of personal well‑being benefits to support your 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 during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday.
Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=6695_9_25
Equal Opportunity Employer 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 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(s) for which they are qualified that is also of interest to them.
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, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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KPMG is currently seeking a Manager, 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 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 counter‑sees (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 modelling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organisational 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)
Benefits We are proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family and your lifestyle. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans and a robust suite of personal well‑being benefits to support your 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 during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday.
Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=6695_9_25
Equal Opportunity Employer 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 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(s) for which they are qualified that is also of interest to them.
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, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#J-18808-Ljbffr