Big Data Solutions Architect

San Francisco, CA, USA

Ranked as #12 on Forbes’ List of 25 Fastest Growing Public Tech Companies for 2017, EPAM is committed to providing our global team of 25,900+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty, and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

DESCRIPTION


You are curious, persistent, logical and clever – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Big Data Solutions Architect. Scroll down to learn more about the position’s responsibilities and requirements.

EPAM, recently named the #1 small tech company in the US by Forbes, is looking to build and strengthen our Big Data Solutions Architects teams across the country. Our ideal candidate will possess skills that make them a subject matter expert in various big data technologies and data science. These roles will entail architecture analysis, design, client management, and other skills.
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What You’ll Do

  • Build proposals for the implementation and design of scalable big data architecture;
  • Participate in workshops with customers and present the proposed solution;
  • Build, implement, and deploy high-performance, custom applications at scale on Hadoop;
  • Identify and develop network infrastructure solutions to enable partners and clients to scale NoSQL and relational database architecture for growing demands and traffic;
  • Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis;
  • Create roadmaps and implementation strategy around data science initiatives including recommendation engines, predictive modeling, and machine learning;
  • Review and audit existing solution, design and system architecture;
  • Perform profiling, troubleshooting of existing solutions;
  • Create technical documentation.

What You Have

  • Strong knowledge of programming and scripting languages such as Java, Python, and/or Scala;
  • Experience in designing, development or maintenance of a distributed application;
  • Experience with major data science technologies and frameworks including but not limited to Hadoop, MapReduce, Apache Spark, Hive, Kafka, Apache Flink, Flume, ZooKeeper, HBase, MongoDB, and Cassandra;
  • Experience with data science solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, and/or Google Cloud;
  • Experiencein client-driven large-scale implementation projects;
  • Data science and analytics experience is a huge plus (machine learning, recommendation engines, search personalization, deep learning);
  • Technical team leadership and team management experience; deep understanding of Agile (Scrum) and the RUP programming process;
  • Shown knowledge of design patterns, refactoring concepts, unit tests, and CI/CD;
  • Practical expertise in performance tuning, optimization and the analysis of bottlenecks;
  • Solid technical expertise & troubleshooting skills;
  • Expertise in object-oriented analysis and design;
  • Fluent in English;
  • Ability to travel up to 50% of the time.

What We Offer

  • Medical, Dental and Vision Insurance (Subsidized);
  • Health Savings Account;
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter);
  • Short-Term and Long-Term Disability (Company Provided);
  • Life and AD&D Insurance (Company Provided);
  • Matched 401(k) Retirement Savings Plan;
  • Paid Time Off;
  • Legal Plan and Identity Theft Protection;
  • Accident Insurance;
  • Employee Discounts;
  • Pet Insurance.