GN-280 CHIEF DATA ENGINEER

Epam Systems


We are seeking an experienced Chief Data Engineer to join our team. In this role, you will oversee the technical direction for NoSQL-related initiatives, evaluate database platform technologies, and provide expert guidance based on business needs. You will work closely with the engineering team to establish best practices and deliver scalable, high-performance database solutions across both cloud and on-premise environments. Responsibilities Lead the design and implementation of scalable and resilient architectures for NoSQL database technologies in cloud and on-premise environments Enhance database performance through tuning and troubleshooting, offering expert recommendations and resolving production issues through root cause analysis across the architecture stack Develop and enforce best practices for database operations to ensure reliability and efficiency Define SLA, SLO, and build SLI dashboards to monitor service-level performance and observability Research and assess emerging Cassandra and NoSQL technologies, lead proof-of-concept projects, and provide detailed risk evaluations and insights Manage database growth, plan capacity, and oversee the lifecycle of current open-source database platforms Requirements Bachelor's degree in Computer Science, Computer Engineering, or a related discipline At least 7 years of experience as a Data Engineer A minimum of 2 years of experience in a leadership or team management position Deep expertise in NoSQL database systems and architecture design, with domain knowledge in at least two technologies such as Cassandra, ScyllaDB, DynamoDB, or MongoDB Experience with infrastructure automation and configuration management tools like Ansible or Terraform to streamline complex administrative processes Hands-on experience with AWS database solutions and related ecosystems, including EC2, DynamoDB, CloudWatch, AMI, Security Groups, and VPC/Subnet/Route53 concepts Proficiency in programming languages such as Python, Java, Django, or Go for software and data engineering tasks Strong experience with version control systems like Git for collaboration and code management Comprehensive knowledge of data storage technologies, including relational and NoSQL databases, high availability, replication/sharding, disaster recovery solutions, and database observability using metrics, dashboards, and alerts Fluent English communication skills, both written and spoken, at a B2 level or higher Nice to have Certifications in AWS or NoSQL database platforms to validate expertise in cloud and database technologies We offer/Benefits - International projects with top brands - Work with global teams of highly skilled, diverse peers - Healthcare benefits - Employee financial programs - Paid time off and sick leave - Upskilling, reskilling and certification courses - Unlimited access to the LinkedIn Learning library and 22,000+ courses - Global career opportunities - Volunteer and community involvement opportunities - EPAM Employee Groups - Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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