Lead Data Developer

We are on the lookout for an accomplished Lead Data Engineer to join our team and help architect, expand, and fortify the data platform behind our industry-leading Unified Communications and Collaboration (UCC) reporting stack.

Responsibilities

• Troubleshoot and improve data modeling approaches spanning OLTP (Postgres) and OLAP (StarRocks) database environments

• Plan and carry out schema updates, backfills, and large-scale migrations while keeping services running smoothly

• Fine-tune query performance and refine storage architecture to serve both transactional and analytical needs

• Suggest continuous enhancements and shape architectural choices that support scaling the analytics platform

Requirements

• At least 5 years of relevant hands-on professional experience

• A minimum of one year of experience in a leadership or team management role

• Substantial, practical experience functioning as a DBA or data engineer working with relational databases such as PostgreSQL at scale

• Deep familiarity with OLAP technologies, including StarRocks or comparable columnar/analytics database systems

• Background in data warehousing principles and implementation

• Skilled at diagnosing and optimizing query performance and storage structure across both OLTP and OLAP environments

• Working knowledge of software development using Kotlin or Golang

• Strong preference for designing data solutions that are performant, efficient, and reliable at scale

• Self-driven and team-oriented, comfortable working autonomously while also guiding and mentoring colleagues

• Solid communication skills for collaborating effectively with team members and stakeholders alike

• Strong written and spoken proficiency in English at a B2 level or higher

Nice to have

• Experience with AWS Aurora for handling scalable relational database management

• Knowledge of data modeling practices that support dependable and efficient data structures

• Expertise in database performance tuning to enhance query speed and storage efficiency

• Familiarity with Docker for building and managing containerized services

• Working knowledge of Java for various software development tasks

• Experience with Kubernetes for managing and scaling containerized workloads

• Familiarity with Terraform for provisioning infrastructure through code

• Comfortable operating within Unix-based environments, including Linux for pods and macOS for workstations

• Background working with data engineering pipelines, including technologies such as Flink, Kafka, and ETL/ELT workflows

We offer

• 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