Manager, Data Engineer - Databricks

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-driven consulting engagements in the Dallas area. You will design and implement large-scale Databricks-based solutions, mentor a small workstream, and guide cloud modernization projects for clients across industries.

The role requires hands-on experience with Databricks, Spark, SQL, and cloud platforms, plus strong communication to translate business needs into technical outcomes and actionable recommendations.

Qualifications

• Minimum three years in cloud data lake/warehouse roles; Databricks preferred.
• Bachelor's degree in Engineering/IT/CS.
• Experience leading cloud modernization and data migrations with Databricks.
• Hands-on SQL, Spark, data security, ETL and data integration.
• Strong communication and ability to lead client workshops.

Responsibilities

• Assist with technical design and lead a small workstream for Databricks data solutions.
• Support architecture design for cloud data migrations.
• Capture and translate requirements; lead project management and client relationships.
• Translate data problems into technical approaches; build visualizations and presentations.
• Articulate Databricks value to stakeholders.

Skills

Databricks ecosystem

Project leadership

Technical consulting

Data architecture design

Education

Bachelor's degree in Engineering/IT/CS

Tools

Databricks

SQL

Apache Spark

AWS/Azure/GCP

Job description

KPMG is currently seeking a Manager, Data Engineer - Databricks for our Consulting practice.

Responsibilities:

• Assist with technical design and development activities and lead a small workstream for implementation of large-scale data solutions in Databricks to support multiple use cases (delta lake, reporting and analytics, AI/ML)
• Support design and development of technology and data architectures to support client solutions leveraging best practices for cloud data warehouse migrations
• Capture and translate business and technical requirements, perform hypothesis-driven consulting and lead project management and client relationship development
• Translate advanced business data, integration and analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports and presentations
• Exhibit strong knowledge of the Databricks ecosystem and can clearly articulate the value proposition of cloud modernization/transformation to a wide range of stakeholders

Qualifications:

• Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified
• Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university
• Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations
• Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms; experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP; hands-on technical experience with SQL and Apache Spark
• Strong verbal/written communication skills with ability to effectively interact with individuals at most levels of responsibility and authority; preferably will be able to prioritize, delegate and foster the development of high-performance teams to lead/support an environment driven by customer service and teamwork
• Highly analytical and detail oriented; highly motivated with strong sense of urgency; quick learner and builds skills in technical areas which support the deployment and integration of Databricks-based solutions to drive customer projects
• 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)