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Solution Architect (Big Data)

  • Hyderabad, India
  • hot
Job #: 42928
Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.


Currently we are looking for a Solution Architect (Big Data) for our Hyderabad office to make the team even stronger.

EPAM India, is looking to build and strengthen its Solutions Architecture teams. In the role, you will be the subject matter expert responsible for business enablement both on the client side defining the architectural choices during all stages of exciting presales opportunities for world leading companies and on delivery side implementing them, as well as providing thought leadership within the fast-growing BI and Big Data Solution Practice and Competency Center.


  • Develop reusable assets, development methods, processes, best practices to accelerate delivery
  • Participate, on an on-going basis, in strategic visioning activities for the practice and competency center
  • Evaluate hardware and software platforms, perform benchmarking, and share the summary results
  • Keep pace with innovative technologies. Write technical reviews and internal newsletter articles and blogposts for development community. Participate in creation of general-interest white papers and blueprints. Participate in internal/externals events as a speaker. Serve as a go-to resource for EPAM regarding his/her technologies of specialization
  • Conduct technical interviews with candidates to chief-level Big Data Developer and entry-level Solution Architect (SA) positions. Mentor one or more such colleagues. Provide technical guidance and career-planning assistance
  • Develop proposals for implementation and designs scalable Big Data architecture
  • Participate in customer’s workshops and present designed solution
  • Design, implement, and deploy high-performance, custom applications at scale on Big Data Platform
  • Define 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
  • Develop roadmaps and implementation strategy around data science initiatives including recommendation engines, predictive modeling, and machine learning
  • Perform reviews and audits of existing solution, design and system architecture
  • Create technical documentation
  • Lead the strategic planning, development and implementation of medium-to-large BI/DW solutions or a component of a larger solution. Lead on all stages of presales activities for such projects. Work on architectural POCs, where required
  • Interact with clients, advice and lead the translation of business requirements and models into appropriate architectural designs to ensure that business needs are met
  • Work directly and collaboratively with clients, external data providers, and other key stakeholders to ensure that the solution’s concept/vision is understood and agreed upon
  • Actively contribute to project review and planning sessions. As needed, lead the solution development, drive and supervise end-to-end development cycle (SDLC), and participate in the project start-up
  • Responsible for ensuring architectural consistency of recommended technology and its integration with the client’s applications and infrastructure. Identify and mitigate risks associated with specific solution in known contexts
  • Perform the architectural knowledge transfer from the project development team to the post-go-live support team as well as for creation the project architecture post-mortem case study


  • Must be capable of leadership (influence management) and pragmatism
  • Strong knowledge of at least one programming language such as Java, Scala, Python
  • At least 3+ years of experience with at least 3 major Big Data technologies and frameworks including but not limited to HDFS, MapReduce, Spark, Flink, Pig, Hive, Flume, Kafka, Storm, Cascading, HBase, Cassandra and Elastic Search
  • 8+ years of software engineering experience
  • 1+ year of work experience as a Solution Architect, doing solution architecture design and architecture review for small-to-medium size solutions based on familiar technology stack
  • Strong experience in applications design, development and maintenance
  • Possess strong SQL knowledge and general knowledge of BI
  • Solid knowledge of design patterns, refactoring concepts and algorithms
  • Practical expertise in performance tuning and optimization, bottleneck problems analysis
  • Experience with putting together a testing methodology for big data platform implementations
  • Solid technical expertise and troubleshooting skills
  • Demonstrated experience in solution cost estimation (including tools, tasks, complexity, labor & time) at coarse grain levels, with supporting material evidence
  • Certification in Big Data field (i.e. one of Cloudera, Hortonworks, MapR or Cassandra)
  • Ability to work with Linux console and write simple bash/shell scrips
  • Fluent oral and written English
  • Ability to travel

Nice to have

  • Experience with Big Data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Microsoft Azure or Google Cloud
  • Experience in the design of one or more of the following: Master Data Management, Data Governance, Advanced Analytics / Data Science, Big Data solutions
  • Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization)
  • Knowledge of one additional programming language as Java, Scala, R, Python or C#
  • Ability to analyze and propose to customer cross-industry or cross-platform solutions
  • Experience with any of the visualization tools

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
  • 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.)
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