Senior Data Solution Architect

About the Position

We are seeking a highly experienced Senior Data Solution Architect to lead the design and implementation of innovative, scalable, and secure data solutions, providing strategic direction and collaborating with cross-functional teams to drive advanced data initiatives.

Responsibilities

• Define, develop, and implement architecture for cloud-based big data analytics solutions
• Provide technical leadership across multiple teams, fostering collaboration and alignment on architectural decisions
• Design and oversee systems for data ingestion, processing, security, governance, and quality management
• Evaluate, recommend, and apply best practices in data management domains such as integration, modeling, governance, and BI solutions
• Ensure optimal performance, scalability, and cost-effectiveness for data systems
• Review and validate production architecture designs and solutions to ensure alignment with business requirements
• Drive adoption of cutting-edge technologies including AI/ML and Generative AI tech stacks
• Lead initiatives in data management domains such as master data management, MLOps, and data security
• Build and maintain robust CI/CD pipelines and DevOps practices in collaboration with development teams
• Stay informed about emerging data architecture trends and ensure continuous improvement of solutions

Requirements

• 15 to 20 years of experience in software engineering with deep expertise in data solutions
• At least 2 production-grade architecture designs or solution reviews in the past 2-3 years
• Knowledge of architecture patterns such as DWH, Data Lake, Lambda, Kappa, Virtualization, and Data Mesh
• Background in centralized, distributed, decentralized, and federated data systems
• Experience with at least one cloud platform: Azure, AWS, GCP, or Snowflake
• Practical expertise with Big Data stack including Spark, Spark Streaming, Hadoop, and Hive
• Capability to work with NoSQL technologies like HBase or Cassandra and orchestration tools such as Oozie, Falcon, or Airflow
• Strong understanding of at least 2 data management domains: Data Integration, MLOps, Generative AI, Data Governance, or Data Modeling
• Hands-on skills in programming with Python, R, Scala, Java, or .NET for PoCs or prototypes
• Proficiency in DevOps and CI/CD tools such as GitLab, GitHub, Azure DevOps, and containerization with Docker or Podman
• Expertise in BI and data visualization tools like Power BI or Tableau

Skills

• Data Solution Architecture
• Data Integration (ETL/ELT) Platforms
• Big Data
• Artificial Intelligence
• Amazon Web Services
• Microsoft Azure
• Google Cloud Platform
• Databricks
• Snowflake
• Data Mesh
• Microsoft Fabric

We Offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

About the Company

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