Data Software Engineering Manager

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.800.000; Jornada completa

Descripción de la vacante

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, and run realistic workloads to analyze outcomes for clear stakeholder takeaways.

Responsibilities include architectural leadership, coordinating data workflows, and mentoring the team on best practices to ensure high-quality, scalable data platforms.

Formación

• 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.

Responsabilidades

• 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 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.

Conocimientos

Data software engineering

Team leadership

Benchmarking

Performance analysis

GenAI assisted development

Herramientas

ClickHouse

Google Cloud Platform

Python

Kubernetes

Prometheus

BigQuery

StarRocks

MySQL

Descripción del empleo

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 LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.