Lead Data DevOps

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. seeks a Lead Data DevOps to drive the reliability and evolution of our Azure data platform through automation, monitoring, and secure operations.

You will implement infrastructure updates, build self-healing capabilities, and partner with Architecture and SRE on performance and access controls across environments. The role requires 5+ years of hands-on Terraform/Azure DevOps experience, deep knowledge of Data Lake, Databricks, ADF, and Synapse Analytics, and strong stakeholder

Formación

• 5+ years hands-on experience with Terraform and Azure DevOps pipelines across multiple subscriptions and environments.
• Strong knowledge of Azure data solutions (Data Lake Storage, Databricks, ADF).
• Experience with Synapse Analytics for performance improvements and troubleshooting.
• Excellent communication with multiple stakeholders; English proficiency at B2 (Upper-Intermediate) level or higher.

Responsabilidades

• Deliver and maintain infrastructure changes across the data platform.
• Set up monitoring and end-to-end tracking mechanisms.
• Build automation and self-healing solutions to streamline platform operations.
• Execute anomaly detection, event correlation, and analysis.
• Run performance analysis on data workloads.
• Administer access permissions across environments.
• Coordinate with Architecture and SRE teams to align platform design and support models.
• Automate administrative activities and deployments; improve processes.

Conocimientos

Stakeholder communication

English proficiency

Herramientas

Terraform

Azure DevOps pipelines

Azure Data Lake Storage

Databricks

Azure Synapse Analytics

Azure Data Factory (ADF)

Descripción del empleo

We are looking for a Lead Data DevOps to drive the reliability and evolution of our Azure data platform through automation, monitoring, and secure operations. You will implement infrastructure updates, build self-healing and tracking capabilities, and partner with Architecture and SRE on performance and access controls across environments—apply now.ResponsibilitiesDeliver and maintain infrastructure changes across the data platformSet up monitoring and end-to-end tracking mechanismsBuild automation and self-healing solutions to streamline platform operationsExecute anomaly detection, event correlation, and analysisRun performance analysis on data workloadsAdminister access permissions across environmentsPartner with Architecture teams to ensure platform design aligns with support model standardsCoordinate with the SRE team to support the platformImprove data platform activities, support processes, and automate administrative activities, infrastructure, and application deploymentsAlign with multiple stakeholders on platform requirements and prioritiesDiagnose and prevent issues related to data workloads performanceRequirementsProven track record with 5+ years of hands-on work using advanced Terraform and Azure DevOps pipelines across multiple subscriptions and environmentsSolid knowledge of Azure data solutions such as Data Lake Storage, Databricks, and ADFPractical familiarity with Synapse Analytics for data workloads performance improvements, monitoring, and issues troubleshootingStrong ability to communicate effectively with multiple stakeholdersDemonstrated expertise in solutioning and collaborating with Architecture teams on platform design standardsEnglish proficiency at B2 (Upper-Intermediate) level or higherWe 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.