Data Solution Architect

Are you an avid technologist who enjoys solving complex data and technical consulting challenges? Are you hungry to thrive in an entrepreneurial environment as part of a rapidly expanding and very successful global engineering company? If so, then EPAM is looking for a Data Solutions Architect with a rich background in enterprise stacks, specializing in a variety of platforms with a focus on back-end systems, high-load and throughput environments, Analytics and Digitization. The ideal candidate will possess comprehensive knowledge in Data Strategy, Management, Architecture, Governance, Technology Architecture, Data Product Lifecycle Management and have cross industry experience, ideally in Pharma or Financial Services. This role is perfect for those eager to participate and contribute to our rapid growth in Western Europe. Responsibilities • Consult with business colleagues to identify requirements and unmet needs that can be addressed through Data Solutions • Create and present solution architecture documents with deep technical details to customer and implementation teams • Lead implementation of the solutions from establishing project requirements and goals to a live solution • Maintain a strong understanding of technical solutions and architecture design trends and best practices, staying on cutting edge of data technologies • Participate in specific pre-sale activities to prepare technical proposals on customer requests • Participate in Data and Big Data initiatives at a company level – built around partnerships, adoption, training and campaigns among others • Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in Data field Requirements • Bachelors degree in Computer Science, Engineering, or a related field • Extensive experience in either Snowflake and/or Databricks • Familiarity with Machine Learning and Large Language Models (LLM) • Extensive experience with building Data Warehouses, Data Lakes • Extensive experience in Data Quality, Data Modelling and Various types of Analytics • Experienced in at least one of the Cloud providers (AWS, Azure) and at least one traditional Data Platform stack • Knowledge of high load and high throughput Data Platform architectures and infrastructures • Extensive ‘hands-on’ experience with design/development on Python/Scala/Java and SQL • General experience in continuous delivery tools and technologies • General experience in Serverless Designs, MPP Architectures, Containers and Resource Management systems • Proven in research, comparison and selection of tools/technologies/approaches to be used • Strong communication skills, experienced in team coordination skills and solution implementation supervision Our Benefits Include • A competitive group pension plan and protection benefits including life assurance, income protection and critical illness cover • Private medical insurance and dental care • Cyclescheme, Techscheme and season ticket loans • Employee assistance program • Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more • EPAM Employee Stock Purchase Plan (ESPP) • Various perks such as gym discounts, free Wednesday lunch in-office, on-site massages and regular social events • Certain benefits and perks may be subject to eligibility requirements and may be available only after you have passed your probationary period