Data Software Engineering Manager

EPAM Systems, Inc.; United States; Remote; USD 160,000 - 190,000; Full time

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

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.ResponsibilitiesDefine system architecture and set the benchmarking approach for data platformsCoordinate the team through data preparation and data generation workflowsBuild hands-on solutions and contribute directly to development and implementationApply deep expertise in ClickHouse as the primary technical focus areaExecute realistic workloads to assess and compare system performanceDrive analysis of benchmark outcomes and performance findingsTranslate raw metrics and data into clear, actionable conclusions for stakeholdersMentor and lead team members on technical best practices and quality standardsRequirementsProven track record with 8+ years of experience in Data Software EngineeringHands-on experience with ClickHouse, Google Cloud Platform, and PythonDeep understanding of performance tuning and data analysis for data systemsPractical proficiency in Gen AI Assisted DevelopmentDemonstrated ability to lead technical teams and steer architectural decisionsSolid background in benchmarking practices and workload analysis for data systemsAdvanced proficiency in English (C1+)Nice to haveFamiliarity with StarRocks and MySQLKnowledge of BigQueryUnderstanding of Kubernetes and PrometheusWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn