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Job Description & How to Apply Below
As a Senior Data Architect at EPAM, you'll bridge traditional data engineering with AI advancements. Collaborate closely with Data Engineers and AI Engineers to craft scalable architectures, optimize Big Query environments, and establish structured data governance. You will influence data practices that ensure high-quality, accessible datasets for analytics and AI systems.
Key Responsibilities:
• Define data architecture for multi-cloud financial and operational datasets
• Create source-to-target mappings and data contracts
• Design integration patterns for APIs and enterprise data
• Establish standards for query and schema usage
• Review data pipelines for performance and cost efficiency
Requirements:
• Strong data engineering and architecture experience
• Expertise in Big Query and cloud data warehousing
• Proficient in SQL and Python programming
• Hands-on integration with REST APIs
• Familiarity with data governance and quality standards
Shape the future of data engineering with your expertise at EPAM.
Position Requirements
10+ Years
work experience
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