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 (Star Rocks) 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 Star Rocks 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 integral 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 Linked In 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 Linked In

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📌 Lead Data Developer (Buenos Aires)
🏢 EPAM Systems
📍 Buenos Aires