Senior Data Solution Architect

at  EPAM Systems Inc

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.
We are in search of a Senior Data Solution Architect to spearhead data-driven projects that leverage scalable platforms, cutting-edge technologies, and machine-learning algorithms. By designing robust solutions, you will be a crucial part in generating value from data, all while driving our organization’s digital transformation through data enablement and democratization.

REQUIREMENTS

• 10+ years of IT experience
• 5+ years in leadership roles
• Extensive experience in requirements engineering, solution architecture, systems development, deployment, and maintenance
• Knowledge in architecture, design patterns, and the technological landscape across at least 3 technology domains including Data Platforms, IoT, and ML
• Profound knowledge of technology internals for at least 1 technology domain
• Solid understanding of core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security, and operations
• Experience in designing, implementing, deploying, troubleshooting, and re-platforming distributed systems both on-premises and in the Cloud
• Structured knowledge of the entire architecture design process including technology selection, estimation, proposal verification, and documentation
• Background in all phases of the software development life cycle using various development methodologies and best practices
• High level of organization and attention to detail
• Competency in effective communication
• Fluency in English

• Address organization business goals and strategies using best practices in data-, solution-, enterprise- and business- architectures, along with software engineering expertise
• Conduct architectural activities including business problem analysis, technology landscape identification, significant requirements identification, solution design, and artifact creation
• Perform software engineering tasks such as coding and data model creation in primary technology stacks, comprehend code and data models for non-primary technology stacks, and apply software design patterns and practices
• Build and manage data management environments on premise and in the cloud, addressing security, compliance, and regulatory concerns with automation, monitoring, orchestration, and data ingestion
• Guide the implementation team in integrating and harmonizing data from various sources, building analytical products on the data platform, and managing data product life cycles efficiently
• Provide data technology consulting services to help clients shape solution visions and make informed decisions under uncertainty