Back to SearchLead Data Developer
Remote in Brazil, Argentina
Database Management & Operations& 18 others
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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