
Manager, Data Solutions Delivery
ROCHESTER, NYJobSeen 6 days agoSeen in employer's feed 6 days ago
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Job overview
KPMG is seeking a Manager, Data Solutions Delivery for its Digital Office within the Legal, Risk Management and Compliance organization. The role leads the design, development, and deployment of enterprise data solutions across cloud platforms, including data pipelines and models. It also involves translating business needs into technical designs, mentoring data engineers and developers, and supporting data quality, governance, and operational reliability.
Skills & qualifications
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Full job description
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. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.KPMG is currently seeking a Manager, Data Solutions Delivery to join our Digital Office within the Legal, Risk Management and Compliance organization.Responsibilities: * Design, develop, and implement scalable data solutions across cloud-based data platforms while leading technical execution from solution design through deployment, ensuring performance, security, reliability, and service-level requirements are met * Build, optimize, and support resilient data pipelines that enable efficient ingestion, transformation, and delivery of data assets, while troubleshooting and resolving complex data integration, performance, and quality issues * Develop and maintain logical and physical data models supporting reporting, analytics, and business operations, defining data structures, relationships, and integration approaches for enterprise analytical needs * Collaborate with business stakeholders, analysts, and architects to translate business requirements into technical designs, prioritize data delivery activities, and manage solution dependencies * Ensure alignment of data models, pipelines, and data products with established architecture standards and governance requirements, while supporting the development of reusable data assets and frameworks that improve scalability and consistency across solutions * Mentor and guide data engineers and developers, establish standards for development, testing, and deployment, maintain comprehensive technical documentation, drive continuous process improvement, and champion data quality, integrity, and operational reliability across supported solutions * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environmentQualifications: * Minimum seven years of recent experience designing and delivering enterprise data solutions * Bachelor's degree from an accredited college or university required * Demonstrated deep knowledge and hand-on experience in designing and implementing end-to-end data solutions across cloud data platforms across all project phases, with hands-on expertise with the Azure data stack, including Databricks, Unity Catalog * Proven proficiency in architecting data models and developing complex data pipelines using Python/Spark and SQL * Experience with code management and deployment using Git repositories and CI/CD processes, along with an understanding of data consumption platforms and analytics tools such as Power BI and the Power Platform * Excellent problem-solving skills with the ability to translate business needs into technical solutions, accompanied by strong communication and collaboration skills, with experience working across technical and business teams * 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 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
How this job compares
Set against the 2,548 open Data Engineering jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- New York median$135–208K/yr157 salary ranges
- US median$47–52/hr82 hourly ranges
- Openings
- Olive Jobs lists 211 open Data Engineering jobs in New York and 2,548 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 7 years of experience; Data Engineering postings that state a minimum ask for 5 years at the median (2,215 postings).
- Education
- This posting asks for a bachelor's degree; 1,045 of the 2,548 open Data Engineering jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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