Data Software Engineering Manager - ClickHouse & Cloud

EPAM Systems, Inc.

United States

Remote

USD 160,000 - 190,000

Full time

5 days ago
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Benefits offered by this job

Healthcare benefits
Paid time off and sick leave
Upskilling, reskilling and certific3-c6
LinkedIn Learning access
Global career opportunities
Volunteer and community involvement

Job summary

EPAM Systems, Inc. seeks 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 include defining benchmarks, coordinating data workflows, and mentoring the team to deliver high-quality data platforms.

Qualifications

  • 8+ years of experience in Data Software Engineering.
  • Hands-on with ClickHouse, Google Cloud Platform and Python.
  • Deep understanding of performance tuning and data analysis for data systems.
  • Proven ability to lead technical teams and steer architectural decisions.

Responsibilities

  • Define system architecture and 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 expertise in ClickHouse as the primary technical focus area.

Skills

Data engineering
Team leadership
Benchmarking & workload analysis
English proficiency

Tools

ClickHouse
Google Cloud Platform
Python

Job description

EPAM Systems, Inc. seeks 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 include defining benchmarks, coordinating data workflows, and mentoring the team to deliver high-quality data platforms.

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