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Senior Engineer, ADL Platform Admin

KPMG

Cincinnati, OHJobSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
No compensation found
Location
Cincinnati, OH
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

KPMG is seeking a Senior Engineer, ADL Platform Administrator, to provide administration and operational support for its Azure Data Lake platform. The role manages Azure Databricks, ADLS, and ADF, including access controls, platform health, storage integrations, automation, and production deployments. Candidates need at least three years of recent platform administration experience focused on Azure Databricks and related Azure services.

Skills & qualifications

RequiredNice to have

Skills

Azure Databricks AdministrationUnity CatalogLakebase PostgresDatabricks AppsGenie AgentAzure Data Lake StorageAzure Data FactoryDatabricks NetworkingSecurity PoliciesSalesforce IntegrationInformatica IntegrationOracle IntegrationSAP HANA IntegrationAzure Key VaultStorage Account Access ControlsService PrincipalsManaged IdentitiesSecure Access ControlPythonPowerShellPySparkSQLKQLLog AnalyticsPrivilege ManagementCI/CDAzure DevOpsPipeline Integration Troubleshooting

Qualifications

Three Years Platform Administration ExperienceHigh School Diploma or GEDFive Years Equivalent Work ExperienceBachelor's Degree

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 Senior Engineer, ADL Platform Administrator to join our Digital Nexus technology organization. Responsibilities: - Provide comprehensive administration and operational support for the Azure Data Lake platform, specifically managing Azure Databricks, Azure Data Lake Storage (ADLS), and Azure Data Factory (ADF) - Oversee user provisioning, group administration, tokens, secrets, and Key Vault security and access controls - Manage the health, performance, and permission structures of Databricks clusters and SQL endpoints to ensure optimal system efficiency - Configure and maintain storage solutions, linked services, and application integrations while adhering to strict security standards - Leverage strong Python, SQL and PowerShell scripting capabilities to automate administrative tasks, monitor platform health, and streamline operations - Drive and support the deployment of code, patches, and upgrades to the production environment while ensuring strict change control compliance - Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: - Minimum three years of recent experience of platform administration experience focusing on Azure Databricks which includes Unity catalog, Lakebase Postgres, Databricks Apps and Genie Agent; Azure Data Lake Storage (ADLS), and Azure Data Factory (ADF) - Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required; or five years of equivalent working experience - Extensive experience configuring Databricks networking, Unity Catalog, security policies (NCC, egress, compute controls), and integrating enterprise tools like Salesforce, Informatica, Oracle, and SAP HANA - Strong understanding of Azure Key Vault, storage accounts (ACLs, roles), service principals, system/user-assigned managed identities, and secure access control practices - Highly proficient in Python, PowerShell, PySpark, SQL, and KQL for platform automation, system log analysis (Log Analytics), privilege management, and ADF linked service configuration - Proven ability to manage CI/CD concepts (Azure DevOps, managed code deployments) and troubleshoot complex pipeline integrations across ADF, Databricks, and SQL databases - 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 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. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to h

How this job compares

Set against the 6,119 open Data Engineer jobs on Olive Jobs, counted October 30, 2026.

Pay
  • This postingNot listed
  • Ohio median$111–213K/yr155 salary ranges
  • US median$70–80/hr226 hourly ranges
Openings
Olive Jobs lists 217 open Data Engineer jobs in Ohio and 6,119 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Ohio
Experience
This posting asks for at least 3 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,345 postings).
Education
2,821 of the 6,119 open Data Engineer jobs (46%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 30, 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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