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