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Data Solution Architect

Remote in Serbia
Data Solution Architecture
& 2 others

We are seeking a Data Solution Architect to design and drive various solutions that generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms.

In this role, you will empower the organization's digital transformation through enterprise data enablement.

Thank you for your interest in this position. Please note that only candidates whose experience closely matches the job requirements will be contacted. If you do not receive an email from us, please do not be discouraged — feel free to apply for other positions that better align with your experience. If you have any questions, you can reach us at jobserbia@epam.com.

Responsibilities
  • Address business goals and strategy of the company using best practices in business-, enterprise-, solution-, data architectures, as well as in software engineering
  • Analyze business problems and the technology landscape, identify significant requirements and design solutions
  • Perform hands-on software engineering by creating data models and conducting code reviews
  • Build data management environments (data platforms) where data and AI products can be produced and hosted, both on-premises and in the cloud, considering security, compliance and regulatory limitations
  • Report on data flow, data quality metrics and operational statuses
  • Guide team efforts in integration and harmonization of data from different sources, building analytical data tools
  • Manage data products lifecycle end-to-end, ensuring their data quality, security and privacy
  • Drive data technology consulting services, helping clients shape a vision for the solution and make decisions under uncertainty
Requirements
  • Experience in solution architecture, engineering, systems development, deployment and maintenance
  • Knowledge of architecture, design patterns and technological landscape in at least 3 technology domains (Data Platforms, IoT, ML, Backend, Mobile, etc.)
  • Solid understanding of the core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security and operations areas
  • Wide experience in design, implementation, deployment, troubleshooting and re-platforming of distributed systems both on-premises and in the cloud
  • Structured and systematic knowledge of the entire of architecture design process (requirements, quality attributes, technology selection, estimation, proposal verification, documentation, etc.)
  • Solid background in all phases of the software development lifecycle using different development methodologies and best practices
  • Well-developed communication and presentation skills
  • C1+ level in English
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