Kpmg Atlanta , GA 30301
Innovate. Collaborate. Shine. Lighthouse KPMG's Center of Excellence for Advanced Analytics has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects covering technologies and solutions from AI to optimization and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.
KPMG is currently seeking a Director to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.
Lead a technical team to rapidly architect, design, prototype, and implement and optimize architectures to tackle the Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations; Design, maintain and oversee the operational process to develop modular code base to solve real world problems; Conduct regular peer code reviews to ensure code quality and compliance following best practices in the industry
Work in cross-disciplinary teams with KPMG industry professionals to understand client needs and ingest rich data sources (social media, news, internal/external documents, emails, financial data and operational data)
Research, experiment, and utilize leading Big Data methodologies (Hadoop, Spark, Kafka, Netezza, SAP HANA, and AWS) with cloud/on premise/hybrid hosting solutions; Oversee a technical team to provide proficient documentation and operating guidance for users of all levels
Lead a technical team to architect, implement, and test data processing pipelines, and data mining/data science algorithms on a variety of hosted settings (AWS, Azure, client technology stacks, and KPMG's own clusters)
Translate advanced business 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; Develop skills in business requirement capture and translation, hypothesis-driven consulting, work stream and project management and client relationship development
Help drive the process for pursuing innovations, target solutions, and extendable platforms for Lighthouse, KPMG, and client; Participate in developing and presenting thought leadership, and assist in ensuring that the Lighthouse technology stack incorporates and is optimized for using specific technologies; Promote the KPMG brand in the broader data analytics community
Minimum of ten years of big data experience with multiple programming languages and technologies, three years as a lead and three years at a management level or PhD with minimum five years of big data experience and familiarity with the end-to-end sales process
Bachelor's degree or Master's degree from an accredited college/university in Computer Science, Computer Engineering, or related field
Ability to manage complex engagements and interface with senior level management internally as well as with clients; Ability to communicate complex technical concepts succinctly to non-technical colleagues, understand & manage interdependencies between all facets of a project; Ability to lead client presentations; Must have demonstrated advanced proficiency in complex, mature and sophisticated D&A technologies and solutions; Ability to mentor others and publish whitepapers or articles on complex D&A technologies or solutions
Market-leading proficiency with multiple large scale and/or distributed processing methodologies (Hadoop, Storm, Spark); Skilled ability to rapidly ingest, transform, engineer, and visualize data, both for ad hoc and product-level (e.g., automated) data & analytics solutions
Market-leading fluency in several programming languages (Python, Scala, or Java), with the ability to pick up new languages and technologies quickly; Understanding of cloud and distributed systems principles (such as load balancing, networks, scaling, in-memory vs. disk); Experience with large-scale, big data methods (MapReduce, Hadoop, Spark, Hive, Impala, or Storm); Ability to work efficiently under Unix/Linux environment or .NET, having experience with source code management systems like GIT and SVN; Strong knowledge with programming methodologies (version control, testing, QA) and development methodologies (Waterfall and Agile)
Experience with object-oriented design, coding, and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures; Familiarity with different architecture patterns of development such as Event Driven, SOA, micro services, functional programming, Lambda; Capability to architect highly scalable distributed systems, using different open source tools
Ability to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
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, 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.