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Big Data Solution Architect
Big Data Solution Architect-March 2024
Virtual
Mar 17, 2025
ABOUT EPAM SYSTEMS
EPAM is a leading global provider of product development and software engineering solutions.
10,000+ employees
Consulting, Technology
VIEW COMPANY PROFILE >>
About Big Data Solution Architect

  We are looking for Solution Architects for data-driven projects to join our Data Practice team in India. Together we design and drive lots of solutions that generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms. We provide a solid architecture framework, educational programs, and a strong SA community to support our new Architects in a deep dive into the data domain.

  WHAT YOU’LL DO

  Design data analytics solutions by utilising the big data technology stack

  Create and present solution architecture documents with deep technical details

  Work closely with business in identifying solution requirements and key case-studies/scenarios for future solutions

  Conduct solution architecture review/audit, calculate and present ROI

  Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"

  Participate in the full cycle of pre-sale activities: direct communications with customers, RFP processing, the development of proposals for implementation and design of the solution, presentation for proposed solution architecture to the customer and participate in technical meetings with customer representatives

  Create and follow personal education plan in the technology stack and solution architecture

  Maintain a strong understanding of industry trends and best practices

  Get involved in engaging new clients to further drive EPAM business in the big data space

  WHAT YOU HAVE

  Should have minimum experience of 12+ yrs

  Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Java, Scala, or Python

  Experience delivering data analytics projects and architecture guidelines

  Experience in big data solutions on premises and on the cloud (Amazon Web Services, Microsoft Azure, Google Cloud)

  Production project experience in at least one of the big data technologies

  Batch processing: Hadoop and MapReduce / Spark / Hive

  NoSQL databases: Cassandra / HBase / Accumulo / Kudu

  Knowledge of Agile development methodology, Scrum in particular

  Experience in direct customer communications and pre-selling business-consulting engagements to clients within large enterprise environments

  Experience working within a consulting business and pre-sales experience would be highly attractive

  WE OFFER

  Opportunity to work on technical challenges that may impact across geographies

  Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications

  Opportunity to share your ideas on international platforms

  Sponsored Tech Talks & Hackathons

  Unlimited access to LinkedIn learning solutions

  Possibility to relocate to any EPAM office for short and long-term projects

  Focused individual development

  Benefit package: Health benefits, Retirement benefits, Paid time off, Flexible benefits

  Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

  EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

  At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

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