About this role
Job title: Senior Associate, Data Engineer
About the Role
Join The Lighthouse within KPMG's Consulting practice to design and implement large-scale data solutions using Databricks, supporting Delta Lake, reporting/analytics, and AI/ML use cases. You will help modernize cloud data platforms and deliver actionable data-driven insights for diverse clients.
What You'll Do
- 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 clearly articulate the value proposition of cloud modernization/transformation to a wide range of stakeholders
What We're Looking For
- 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