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Data Solution Architect

Role overview

Qualifications

  • 10+ years of experience in requirements engineering, solution architecture, systems development, and application deployment and maintenance
  • 2+ years of experience as an Architect
  • Knowledge of architecture, design patterns and the technological landscape in at least 3 technology domains (Data Platforms, IoT, ML, Backend, Mobile, etc.)
  • Proficiency in data and analytics platform architectures, data warehousing, business intelligence, and data management integration

Responsibilities

  • Design and evolve large-scale data-driven solutions
  • Drive direct communications with business stakeholders
  • Elaborate on all technical aspects for the development team, providing justification for architectural decisions
  • Lead implementation of solutions from establishing project requirements and goals to solution 'go-live'

Key facts

Hard skills

Other skills

  • Training And Development
  • Communication
  • Detail Oriented

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We are looking for an experienced Data Solution Architect to lead the creation of scalable, impactful data-driven solutions. By collaborating with our team and clients, you will design and implement cutting-edge technologies and architectures to unlock the value of data. Responsibilities Design and evolve large-scale data-driven solutions Drive direct communications with business stakeholders Elaborate on all technical aspects for the development team, providing justification for architectural decisions Lead implementation of solutions from establishing project requirements and goals to solution "go-live" Create and present solution architecture documentation with technical detail to customers and implementation teams Participate in the full cycle of pre-sale activities Lead evaluation and assessment activities for solution architecture Research emerging technologies to inform solution designs, contribute to knowledge-sharing initiatives, and conduct PoCs or training programs Requirements 10+ years of experience in requirements engineering, solution architecture, systems development, and application deployment and maintenance 2+ years of experience as an Architect Knowledge of architecture, design patterns and the technological landscape in at least 3 technology domains (Data Platforms, IoT, ML, Backend, Mobile, etc.) Expertise in a specific technological domain, showcasing deep knowledge of the domain's internals Proficiency in data and analytics platform architectures, data warehousing, business intelligence, and data management integration, with an ability to address security and operational concerns Skills in designing, implementing, deploying, troubleshooting, and replatforming distributed systems in both Cloud and on-premises environments Understanding of architecture processes, including requirements analysis, technology selection, quality attribute assessment, documentation, and estimation Familiarity with all phases of the software development life cycle and flexibility to adopt various development methodologies and best practices Organized and detail-oriented mindset Strong communication skills Fluent English (B2+/C1 level)

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