Lead Data Developer

Description

Summary: We are seeking an accomplished Lead Data Engineer to architect, expand, and fortify our industry-leading Unified Communications and Collaboration (UCC) reporting data platform. Highlights: 1. Architect, expand, and fortify industry-leading data platform 2. Shape architectural choices to support platform scaling 3. Guide and mentor colleagues in a team-oriented environment 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