Job Description

We are seeking a Senior Platform Engineer to lead the administration, governance, and automation of our Data Lake and Azure 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 Azure Databricks and Data Lake Storage Gen2 workspaces
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, optimizing performance and efficiency
Document platform processes and best practices

Requirements

5+ years of experience with Microsoft Azure cloud services, particularly Azure Databricks and Azure Data Lake Storage Gen2
Proficiency in Azure access management, including RBAC and Entra ID
Expertise in Databricks governance, particularly Unity Catalog, covering catalog/schema management, access control, and data lineage
Experience using Terraform to automate infrastructure deployment and management
Familiarity with Python for automation and scripting
Skills in working 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
Proficiency in English at a B2+ level

Nice to have

Knowledge of Agile methodologies, such as Scrum and SAFe
Experience with Databricks administration, including workspace configuration, job orchestration, and cluster policies
Showcase of contributions 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 with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more