KPMG US · 1 day ago
Manager, Data Engineering
KPMG is a leading provider of audit, tax, and advisory services, known for its commitment to individual development and community support. The Manager, Data Engineering will lead a team in designing and delivering data solutions that provide actionable insights, while also managing scalable data pipelines and fostering high-performance teams.
Financial Services
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
Qualification
Required
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 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 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
Medical and dental plans
Vision coverage
Disability and life insurance
401(k) plans
A robust suite of personal well-being benefits to support your mental health
Personal Time Off per fiscal year
Calendar of holidays to be observed during the year
Two breaks each year where employees will not be required to use Personal Time Off
Company
KPMG US
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States.
Funding
Current Stage
Late StageRecent News
Australian Financial Review
2024-05-12
2024-05-07
Media OutReach
2024-04-30
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