Databricks Data Engineering Manager | Cloud Modernization

KPMG LLP; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

KPMG LLP is seeking a Manager, Data Engineer - Databricks to lead data engineering efforts within the Consulting practice. You will design and implement large-scale Databricks solutions, focusing on delta lake, reporting, analytics, and AI/ML use cases, while aligning with cloud data warehouse migrations and best practices.

You will translate business needs into technical strategies, manage projects, and communicate outcomes through insightful visualizations and presentations to diverse

Qualifications

• Minimum of three years of experience in cloud data lake/warehouse architectures, design or development.
• Experience leading projects and workshops with technical/business clients to derive value-added services.
• Hands-on experience with SQL and Apache Spark; Databricks certification preferred.

Responsibilities

• Lead a small workstream for large-scale Databricks implementations across multiple use cases.
• Support design and development of data architectures for cloud data warehouse migrations.
• Capture and translate business and technical requirements; lead project management and client relationships.

Skills

Cloud data architecture

Project leadership

Client communication

Analytical mindset

Education

Bachelor's degree in Engineering, Information Technology, Computer Science or a related field

Tools

Databricks

SQL

Apache Spark

Cloud platforms (AWS/Azure/GCP)

Job description

KPMG LLP is seeking a Manager, Data Engineer - Databricks to lead data engineering efforts within the Consulting practice. You will design and implement large-scale Databricks solutions, focusing on delta lake, reporting, analytics, and AI/ML use cases, while aligning with cloud data warehouse migrations and best practices.

You will translate business needs into technical strategies, manage projects, and communicate outcomes through insightful visualizations and presentations to diverse