Senior Associate, Databricks Data Engineer

Historically, the travel requirement for this position has ranged from 80-100%. The safety and well-being of our people continues to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities, and guidance from a number of infectious disease experts. For now, all KPMG business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only. At some point in the future and with the safety of people as the critical factor, the travel requirement will likely increase, possibly to previous levels, but KPMG is committed to balancing client requirements with new delivery capabilities.

The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Senior Associate in Technology Enablement 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

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

At KPMG, any partner or employee must be fully vaccinated or test negative for COVID-19 in order to go to any KPMG office, client site or KPMG event. In some circumstances, individuals who are not fully vaccinated may also be required to have a reasonable accommodation to not be fully vaccinated for COVID-19.