We are looking for a Senior Platform Engineer to join our team and drive the administration, governance, and automation of our Data Lake and Azure Databricks platforms. Your work will play a key role in building scalable, secure, and efficient solutions that support cloud operations, enterprise analytics, and machine learning initiatives.

This position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda.

Responsibilities

Administer and manage Azure Data Lake Storage Gen2 and Databricks workspaces
Implement and enforce access management policies leveraging RBAC and Entra ID
Apply Databricks governance concepts, including Unity Catalog, access control, and data lineage
Develop automation scripts and integrate with REST APIs to configure and monitor the platform
Ensure platform operational health by monitoring, incident response, and troubleshooting
Collaborate with global stakeholders to establish platform standards and governance frameworks
Optimize platform performance and resolve technical issues effectively
Document processes, best practices, and guidelines for platform usage
Contribute to the design and enhancement of the data lake infrastructure to support evolving business needs

Requirements

3+ years of professional experience in Platform Engineering or related roles
Strong experience with Microsoft Azure, specifically Azure Databricks
Knowledge of Azure access management techniques such as RBAC and Entra ID
Background in Databricks governance, with expertise in Unity Catalog's catalog management, access control, and data lineage
Familiarity with infrastructure-as-code tools such as Terraform or ARM templates
Advanced skills in Python for scripting and automation
Proficiency in working with REST APIs for platform configuration and administration
Understanding of DevOps principles, including incident management, monitoring, and operational health
Experience in enterprise-grade environments with distributed, globally diverse teams
Competency in analyzing and solving complex technical challenges with attention to detail
English language proficiency at an Upper-Intermediate level (B2) or higher

Nice to have

Experience with Agile methodologies, including Scrum or SAFe
Background in Databricks workspace configuration, job orchestration, and cluster policy management
Showcase of contributions to platform standards, governance solutions, or shared automation resources
Experience with Azure Data Lake Storage Gen2
Understanding of CI/CD workflows and DevOps toolchain implementation

We offer/Benefits

We connect like-minded people:

Delivering innovative solutions to industry leaders, making a global impact
Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
Opportunity to work abroad for up to two months per year
Relocation opportunities within our offices in 55+ countries
Corporate and social events

We invest in your growth:

Leadership development, career advising, soft skills and well-being programs
Certifications, including GCP, Azure and AWS
Unlimited access to EPAM's internal learning database
Free English classes with certified teachers
Discounts in local language schools, including online courses for the Kazakh language

We cover it all:

Participation in the Employee Stock Purchase Plan
Monetary bonuses for engaging in the referral program
Medical & family care package
Six trust days per year (sick leave without a medical certificate)
Coverage of psychology sessions of your choice
Benefits package (sports activities, a variety of stores and services)
Housing support program: preferential mortgage access via Otbasy Bank partnership

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

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