[Hiring] Senior Data Solution Architect @EPAM Systems

Role Description

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.

• 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
  • Artifact creation
• Perform software engineering tasks such as:
  • Coding and data model creation in primary technology stacks
  • Comprehending code and data models for non-primary technology stacks
  • Applying 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
  • Managing data product life cycles efficiently
• Provide data technology consulting services to help clients shape solution visions and make informed decisions under uncertainty.

Qualifications

• 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 (B2 level or higher)

Requirements

• Familiarity with CI/CD and infrastructure automation
• Flexibility to adapt to evolving technologies and methodologies within data management
• Capability to drive operations focusing on scaling and cost-efficiency
• Qualifications in advanced data security and privacy practices
• Understanding of metadata management and semantic layering within data platforms