Job Description

Salary: $66,000 - 106,000 per year Requirements:

• We are looking for at least three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI/ML engineer, with Databricks certification preferred
• We require a bachelors degree in Engineering, Information Technology, Computer Science, or a related discipline from an accredited college or university
• We value experience leading cloud modernization and data migration initiatives, along with cloud-based data platform work in Databricks and technical workshop facilitation with business and technical stakeholders
• We expect hands-on knowledge of data security, messaging patterns, ELT, data wrangling, cloud computing, data integration/EAI, database technologies, analytics tools, programming languages, or visualization platforms, plus solution design experience on AWS, Azure, or GCP and practical SQL and Apache Spark skills
• We look for strong verbal and written communication skills, with the ability to engage effectively across multiple levels of responsibility and authority
• We prefer candidates who can prioritize, delegate, and help build high-performing teams in a customer service- and teamwork-oriented environment
• We seek highly analytical, detail-oriented, self-motivated individuals with a strong sense of urgency who learn quickly and develop technical skills that support Databricks-based solution deployment and integration
• We require applicants to be authorized to work in the U.S. without current or future employment-based visa sponsorship

• We assist with technical design and development efforts and lead a small workstream to implement large-scale Databricks data solutions supporting delta lake, reporting and analytics, and AI/ML use cases
• We support the design and development of technology and data architectures that enable client solutions using cloud data warehouse migration best practices
• We capture and interpret business and technical requirements, apply hypothesis-driven consulting, and help lead project management and client relationship development
• We translate complex business data, integration, and analytics challenges into technical approaches that produce practical recommendations across diverse domains
• We communicate findings and help educate others through the design and delivery of compelling visualizations, reports, and presentations
• We demonstrate strong knowledge of the Databricks ecosystem and clearly communicate the value of cloud modernization and transformation to a broad range of stakeholders

• AI
• AWS
• Architect
• Azure
• Cloud
• Data Warehouse
• Databricks
• GCP
• Support
• SQL
• Security
• Spark

More:

We are KPMG Advisory, and our practice is at the forefront of transformation, offering strong opportunities to advance careers and deepen expertise. We foster a collaborative, team-driven culture where adaptability is essential, and we place our people first. We provide extensive learning and career development opportunities, a world-class training facility, leading market tools, and a strong sense of team connection so you can bring your whole self to work, make an impact, and grow professionally and personally. This role is within our Consulting practice as a Manager, Data Engineer - Databricks. We also offer a comprehensive, competitive benefits package with medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, personal well-being benefits, personal time off, and holiday-related breaks, subject to eligibility.

last updated 37 week of 2026

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