Senior Platform Engineer (AWS Infrastructure & Administration) (EPAM SISTEMOS, UAB)
Darbdavys: EPAM SISTEMOS, UAB
Miestas: Kaunas
Paskelbta: 2026-10-23
💶 3800 - 5700 €/mėn. Prieš mokesčius · visa darbo diena · nuotolinis darbas: hibridinis · paskelbta 2026-10-08
Kandidatuoti šaltinyje (cv.lt) →
Job description:
We are seeking a Senior Platform Engineer to lead the administration, governance, and automation of our Data Lake and AWS Databricks environments. In this role, you will build solutions that streamline platform operations, enable secure data access, and support analytics and machine learning initiatives across the enterprise.
_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._
Administer and manage AWS Databricks and Data Lake environments
Implement and enforce access management using RBAC and Entra ID
Apply Databricks governance concepts, including Unity Catalog, access control, and data lineage
Develop automation scripts and REST API integrations for platform configuration and monitoring
Monitor platform health, respond to incidents, and ensure operational reliability
Collaborate with stakeholders to align platform standards and contribute to governance frameworks
Troubleshoot and resolve platform issues while optimizing performance and efficiency
Document platform processes and best practices
Requirements:
5+ years of experience with AWS cloud services, especially AWS Databricks
Proficiency in AWS access management, including RBAC and Entra ID
Hands-on knowledge of Databricks governance, particularly Unity Catalog, covering catalog/schema management, access control, and data lineage
Experience using Terraform to automate infrastructure deployment and management
Basic Python development skills for automation and scripting
Familiarity with REST APIs for platform administration and configuration
Understanding of DevOps principles, including monitoring, observability, incident response, and operational health
Experience working in enterprise environments, ideally within diverse and globally distributed organizations
Strong analytical and problem-solving skills
English proficiency at B2 level or higher
Nice to have
Knowledge of Agile methodologies (Scrum, SAFe)
Experience with Databricks administration, including workspace configuration, job orchestration, and cluster policies
Background in contributing to shared platform standards, governance frameworks, or automation libraries
Familiarity with infrastructure-as-code tools, such as Terraform and ARM templates
Exposure to CI/CD pipelines and DevOps toolchains
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies…
We are seeking a Senior Platform Engineer to lead the administration, governance, and automation of our Data Lake and AWS Databricks environments. In this role, you will build solutions that streamline platform operations, enable secure data access, and support analytics and machine learning initiatives across the enterprise.
_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._
Administer and manage AWS Databricks and Data Lake environments
Implement and enforce access management using RBAC and Entra ID
Apply Databricks governance concepts, including Unity Catalog, access control, and data lineage
Develop automation scripts and REST API integrations for platform configuration and monitoring
Monitor platform health, respond to incidents, and ensure operational reliability
Collaborate with stakeholders to align platform standards and contribute to governance frameworks
Troubleshoot and resolve platform issues while optimizing performance and efficiency
Document platform processes and best practices
Requirements:
5+ years of experience with AWS cloud services, especially AWS Databricks
Proficiency in AWS access management, including RBAC and Entra ID
Hands-on knowledge of Databricks governance, particularly Unity Catalog, covering catalog/schema management, access control, and data lineage
Experience using Terraform to automate infrastructure deployment and management
Basic Python development skills for automation and scripting
Familiarity with REST APIs for platform administration and configuration
Understanding of DevOps principles, including monitoring, observability, incident response, and operational health
Experience working in enterprise environments, ideally within diverse and globally distributed organizations
Strong analytical and problem-solving skills
English proficiency at B2 level or higher
Nice to have
Knowledge of Agile methodologies (Scrum, SAFe)
Experience with Databricks administration, including workspace configuration, job orchestration, and cluster policies
Background in contributing to shared platform standards, governance frameworks, or automation libraries
Familiarity with infrastructure-as-code tools, such as Terraform and ARM templates
Exposure to CI/CD pipelines and DevOps toolchains
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies…