We are seeking a Data Software Engineering Manager to shape data system architecture and benchmarking while guiding end-to-end data preparation. You will stay hands-on with implementation, using ClickHouse as the core focus while running realistic workloads and analyzing outcomes to turn numbers into clear stakeholder takeaways.

Responsibilities

- Define system architecture and set the benchmarking approach for data platforms
- Coordinate the team through data preparation and data generation workflows
- Build hands-on solutions and contribute directly to development and implementation
- Apply deep expertise in ClickHouse as the primary technical focus area
- Execute realistic workloads to assess and compare system performance
- Drive analysis of benchmark outcomes and performance findings
- Translate raw metrics and data into clear, actionable conclusions for stakeholders




- Mentor and lead team members on technical best practices and quality standards

Requirements

- Proven track record with 8+ years of experience in Data Software Engineering
- Hands-on experience with ClickHouse, Google Cloud Platform, and Python
- Deep understanding of performance tuning and data analysis for data systems
- Practical proficiency in Gen AI Assisted Development
- Demonstrated ability to lead technical teams and steer architectural decisions
- Solid background in benchmarking practices and workload analysis for data systems
- Advanced proficiency in English (C1+)

Nice to have

- Familiarity with StarRocks and MySQL
- Knowledge of BigQuery
- Understanding of Kubernetes and Prometheus

📌 Data Software Engineering Manager (Argentina)
🏢 EPAM Systems
📍 Argentina