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 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
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Define, develop and implement architecture for cloud-based big data analytics solutions
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Provide technical leadership across multiple teams, fostering collaboration and alignment on architectural decisions
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Design and oversee systems for data ingestion, processing, security, governance and quality management
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Evaluate, recommend and apply best practices in data management domains such as integration, modeling, governance and BI solutions
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Ensure optimal performance, scalability and cost-effectiveness for data systems
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Review and validate production architecture designs and solutions to ensure alignment with business requirements
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Drive adoption of cutting-edge technologies including AI/ML and Generative AI tech stacks
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Lead initiatives in data management domains such as master data management, MLOps and data security
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Build and maintain robust CI/CD pipelines and DevOps practices in collaboration with development teams
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Stay informed about emerging data architecture trends and ensure continuous improvement of solutions
Requirements
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15 to 20 years of experience in software engineering with deep expertise in data solutions
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At least 2 production-grade architecture designs or solution reviews in the past 2-3 years
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Knowledge of architecture patterns such as DWH, Data Lake, Lambda, Kappa, Virtualization and Data Mesh
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Background in centralized, distributed, decentralized and federated data systems
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Experience with at least one cloud platform: Azure, AWS, GCP or Snowflake
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Practical expertise with Big Data stack including Spark, Spark Streaming, Hadoop and Hive
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Capability to work with NoSQL technologies like HBase or Cassandra and orchestration tools such as Oozie, Falcon or Airflow
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Strong understanding of at least 2 data management domains: Data Integration, MLOps, Generative AI, Data Governance or Data Modeling
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Hands-on skills in programming with Python, R, Scala, Java or .NET for PoCs or prototypes
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Proficiency in DevOps and CI/CD tools such as GitLab, GitHub, Azure DevOps and containerization with Docker or Podman
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Expertise in BI and data visualization tools like Power BI or Tableau
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
