Lead Cassandra Architect - Scale Resilient Data Infrastructure

EPAM Systems, Inc.; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

EPAM Systems, Inc. seeks a Lead Database Engineer to design, implement, and optimize expansive Cassandra and NoSQL data solutions at scale. You will guide data modeling, cluster setup, performance tuning, and reliability across enterprise systems.

Role requires hands-on Cassandra expertise, leadership experience, and strong collaboration with cross-functional teams to deliver resilient data platforms.

Qualifications

• Minimum of five years of practical database experience
• At least one year of leading development teams
• Extensive experience designing Cassandra or NoSQL platforms
• Exposure to Astra or AWS Keyspaces technologies
• Hands-on Cassandra data modeling and NoSQL design
• Knowledge of Cassandra internals (gossip, hinted handoff, read repair, Merkle trees)
• Familiarity with Linux environments and Java configuration
• Working knowledge of MongoDB
• Understanding tombstones, GC and purging practices
• Experience with OpsCenter, DevCenter, Linux, Spark
• Proficiency writing CQL queries for Cassandra
• Foundational CI/CD pipeline setup experience

Responsibilities

• Map Cassandra cluster rollouts by estimating data volumes and hardware needs
• Set up and configure new Cassandra clusters from scratch
• Use monitoring to track cluster uptime and performance
• Convert and export stored data for downstream apps
• Use primary/secondary indexing to optimize queries
• Perform backups and recovery operations
• Tune JVM, caching, and compaction settings for performance
• Run stress tests and analyze results

Job description

EPAM Systems, Inc. seeks a Lead Database Engineer to design, implement, and optimize expansive Cassandra and NoSQL data solutions at scale. You will guide data modeling, cluster setup, performance tuning, and reliability across enterprise systems.

Role requires hands-on Cassandra expertise, leadership experience, and strong collaboration with cross-functional teams to deliver resilient data platforms.