Senior Associate, Data Engineer - Databricks

KPMG LLP; Dallas (TX); On-site; USD 110,000 - 165,000; Full time

Job summary

KPMG LLP is seeking a Senior Associate, Data Engineer in its Consulting practice. You will design and implement large-scale data solutions in Databricks, help migrate to cloud data warehouses, and translate requirements into actionable analytics and visualizations.

You will lead small workstreams, partner with clients, and communicate complex technical concepts to diverse stakeholders. Strong Databricks/Cloud experience and US work authorization are required.

Qualifications

• Three+ years of experience in cloud data lake/warehouse roles (architect, designer, developer, data scientist or AI/ML engineer).
• Bachelor’s degree in Engineering, IT, CS or related field from an accredited college/university.
• Experience leading cloud modernization and data migrations on Databricks and related platforms.
• Hands-on knowledge of data security, ELT, data wrangling and cloud computing; proficiency in data integration/EAI and DB technologies.
• Strong communication; able to work with technical and business clients; Databricks certification preferred.
• Authorized to work in the United States without visa sponsorship now or in the future and travel as needed.

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.
• 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 and educate others through design and build of insightful visualizations, reports and presentations.
• Exhibit strong knowledge of the Databricks ecosystem and clearly articulate the value proposition of cloud modernization/transformation to a wide range of stakeholders.

Skills

Databricks

SQL

Apache Spark

Cloud platforms

Data integration / EAI

Data wrangling

ELT

Data security

Visualization

Data warehousing

Education

Bachelor’s degree in Engineering, Information Technology or Computer Science

Tools

Databricks

AWS

Azure

GCP

Job description

KPMG is currently seeking a Senior Associate, Data Engineer 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 currently authorized to work in the United States without the need for visa sponsorship now or in the future and travel as needed