KPMG Director, Data Engineer in Denver, Colorado
Director, Data Engineer
Requisition #: 41974
Practice Area: Business Support Services
Location: Denver, CO; New York, NY
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 Data & Analytics Engineer to join our- Center of Excellence for Advanced Analytics.
Lead the data engineering team in a cross-functional engagement; Provide infrastructure recommendation, roadmap, solution architecture; rapidly prototype, develop and optimize D&A implementations to tackle the BI/EDW/Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations
Lead/mentor the practice to design, develop, and maintain D&A solutions on premise/cloud/KPMG-hosted/hybrid infrastructure; be the team champion of some mainstream BI/EDW/Big Data toolsets like Tableau, Alteryx, Informatica, Pentaho, Er-Win, and Power Designer
Actively pursue and play data owner role in cross-disciplinary teams; Build solution architecture, logical/physical data models
Discover, profile, acquire, process, model, and own data for the solutions; Implement data processing pipelines, data mining/science algorithms, and visualization engineering to help clients distill insights from rich data sources, including social media, news, internal/external documents, emails, financial data, client data and operational data
Suggest, lead and involve in Research and experiment of leading/emerging BI/EDW/Big Data methodologies, such as serverless data lake, AWS Redshift, Athena, Glue, GCP BigQuery, and MS PowerBI and apply them to real client solutions
Lead/play the data engineering SME in the process for pursuing innovations, target solutions, and extendable platforms for Lighthouse, KPMG and client
Minimum of nine years of relevant data engineering experience in related industries, preferably professional services (four plus years as high performing lead; Three plus years in the management level) or PhD with five plus years or relevant experience
Bachelor's degree or Master's degree from an accredited college/university in Computer Science, Computer Engineering, or related fields
Previous experience leading a few production data engineering projects, including PoC (proof-of-concept), pilot and full production; previous projects should cover different types: EDW; EDW to Hadoop/Data Lake migration; on premise to cloud migration/hybrid, and raw data volume at least 100+ TB
Strong experience and knowledge in: BI/EDW/Big Data toolsets (Tableau, Alteryx, Informatica, Pentaho, Er-Win, Power Designer); Linux/Unix/Windows/.NET; Market-leading fluency of: SQL; and several programming languages (Bash/ksh/PowerShell; Python/Perl/R; Java/C/C++/Scala)
Proficiency in distributed computing architecture, massive-parallel processing big data platforms (such as Hadoop, MapReduce, HDFS, Spark, Hive/Impala, H-Base/MongoDB/Casandra, Teradata/Netezza/Redshift)
Strong knowledge in mainstream cloud infrastructures: AWS, MS Azure and GCP; their D&A related Microservices; Implementing data lake and serverless data lake; Solution certificates of AWS, MS Azure, or GCP is preferred
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. Thecontains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG offers a range of medical insurance options to meet your needs as well as prescription drug coverage, health care flexible spending accounts, and dependent day care flexible spending accounts.
Personal Time Off (PTO)
Up to 30 PTO Days per year (depending on job classification/level/years of service).
401(k) and Pension Plans
Dependent Care Flexible Spending Account
Health Care Flexible Spending Account
Mortgage Assistance Program
Hyatt Legal Plan
Benefits vary by employment status.