Data Solution Architect

We are seeking a Data Solution Architect for data-driven projects. 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.

Data Solution Architect is an expert who empowers an organization's digital transformation through enterprise data enablement and democratization.

• Experience in requirements engineering, solution architecture, 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.)
• Profound knowledge of the technology's internals for at least 1 technology domain
• 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.)
• Experience in all phases of the software development life cycle with different development methodologies and best practices
• Highly organized and detail-oriented
• Good communication skills
• Fluent English

• Address organization business goals and strategy with best practices in data-, solution-, enterprise- and business- architectures, as well as in software engineering
• Conduct various architectural activities, which include analysis of business problems and technology landscape, identification of significant requirements, design of solutions and creation of corresponding artifacts
• Perform hands-on software engineering activities, i.e., write code and create data models in primary technology stacks, read/understand code and data models for non-primary technology stacks, apply software design patterns and practices
• Build data management environments (data platforms), where data and AI products can be produced and hosted, both on premise and in the cloud, with consideration of security, compliance and regulatory limitations, including automation and operational components, monitors, platform orchestration, batch and streaming data ingestion, data access layer, metadata management and semantic layer, self-service and exploratory environment, CI/CD and infrastructure automation, capacity and cost management components; as well as interfaces for reports of data flow and data quality metrics, operational statuses, and catalog operations
• Guide implementation team efforts in integration and harmonization of data from different sources, construction of analytical data products (including real-time streaming analytical data products) on its basis within the data platform, as well as management of data products life cycle end-to-end, with assurance of their data quality, security and privacy, and doing it efficiently at scale
• Drive data technology consulting services, help clients to shape a vision of the solution and make decisions under uncertainty

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.