KPMG US
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Manager, Data Operations, Data Engineer
role at
KPMG US .
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)
KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations.
KPMG is 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.
Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=7567_9_25
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(s) for which they are qualified that is also of interest to them.
#J-18808-Ljbffr
Manager, Data Operations, Data Engineer
role at
KPMG US .
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)
KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations.
KPMG is 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.
Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=7567_9_25
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(s) for which they are qualified that is also of interest to them.
#J-18808-Ljbffr