KPMG Senior Associate, Microsoft Azure Big Data Developer in Washington, District Of Columbia

Business Title: Senior Associate, Microsoft Azure Big Data Developer

Requisition Number: 31350 - 19

Function: Business Support Services

Area of Interest: Data Analytics

State: DC

City: Washington


Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Senior Associate to join our Lighthouse Organization


  • Rapidly architect, design, prototype and implement architectures to tackle the Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations

  • Work in cross-disciplinary teams with KPMG industry experts to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails, financial data and operational data

  • Research, experiment and utilize leading Big Data methodologies, such as Hadoop, Spark, HDInsight, Azure Data Lake Analytics and Azure Data Warehouse

  • Architect, implement and test data processing pipelines and data mining / data science algorithms on Microsoft Azure

  • Translate advanced business analytics problems into technical approaches that yield actionable recommendations in diverse domains such as risk management, product development, marketing research, supply chain and public policy

  • Communicate results and educate others through insightful visualizations, reports and presentations


  • A minimum of five years of data analytics experience with a professional services firm, technology firm, an internal strategy/analytics group, or similar environment

  • Bachelor's degree in a technical or quantitative field from an accredited college or university (master's or MBA degree preferred) with working knowledge of topics such as computer science, statistics, econometrics, machine learning, operations research, decision science and cloud computing

  • Experience designing, architecting, and delivering big data solutions utilizing either the Cortana Intelligence Suite of analytics services part of Microsoft Azure or the Big Data services on Amazon AMS

  • Preferred experience with services part of Cortana Intelligence Suite such as HDInsight, Azure Data Lake, Azure Machine Learning, Azure SQL Data Warehouse, Azure SQL, Streaming Analytics, IoT, Bot Framework, Cognitive Services, Data Catalog, Azure Data Factory and Power BI

  • Experience with similar Amazon AWS fluency in analytics services such as EMR, RedShift, Kinesis, QuickSight etc. who are interested in also learning Azure

  • Ability to travel up to 80% of the time

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, genetic information, personal appearance, family responsibility, matriculation or political affiliation, or other legally protected status. KPMG maintains a drug-free workplace. KPMG will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance number 131192). No phone calls or agencies please.

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