Senior Data Platform Engineer (remote from Poland or India)

Please note that all candidates must be located in Poland or in India.

Key Responsibilities:

• Own end-to-end administration of Azure Databricks and Snowflake platforms, including architecture design, RBAC and access control, governance guidelines, and implementation of automated processes for efficient and secure platform management.
• Administer and optimize Azure Databricks, including clusters, jobs, and user access.
• Manage Snowflake environments (warehouses, roles/permissions, performance tuning, cost optimization).
• Design, administer, and monitor Azure Data Factory (ADF) pipelines for batch and streaming workloads.
• Enable data movement and replication across global environments.
• Automate processes and reduce manual effort with Python, PySpark, SQL, and PowerShell.
• Work with Azure Data Lake Storage (ADLS), Function Apps, and Key Vault for secure and efficient data operations.
• Ensure compliance with security, governance, and cost management best practices.
• Collaborate with Data Engineering, DNA, and Data Science teams to ensure high availability and reliable data delivery.
• Troubleshoot platform issues, implement fixes, and contribute to runbooks and documentation.
• Partner with architects and engineers to continuously improve platform scalability, reliability, and efficiency.
• Coordinate platform operations across global environments to ensure consistency and reliability.
• Own incident management lifecycle: triage, root cause analysis, and resolution for platform-related issues.
• Participate in on-call rotation and ensure SLA adherence for critical data pipelines.
• Monitor platform health, optimize resource utilization, and plan for capacity across global environments.
• Track and report monthly platform spend; implement proactive measures to stay within budget.
• Conduct onboarding sessions for new teams and maintain platform usage guidelines.
• Maintain comprehensive documentation and conduct periodic training sessions for platform users
• Ensure audit readiness by maintaining compliance evidence and enforcing data governance policies across platforms.

Required Skills and Experience:

• 5+ years of experience in data platform engineering/administration.
• Strong expertise in Azure Databricks, Snowflake, and Azure Data Factory.
• Experience on Azure Synapse, Event Hubs, or other Azure data services.
• Hands-on experience with data pipelines, administration, orchestration, and automation.
• Proficiency in SQL, Python, PySpark, and scripting (PowerShell/Bash).
• Experience with Apache Airflow for scheduling and orchestration.
• Strong understanding of Azure services including ADLS, Function Apps, Key Vault, Networking, and Monitoring.
• Familiarity with CI/CD pipelines and Infrastructure as Code (Terraform/ARM).
• Solid knowledge of data governance, security, and cost optimization practices
• Experience with incident management tools (e.g., PagerDuty, ServiceNow).
• Strong understanding of cost governance frameworks and budget reporting.
• Familiarity with data quality monitoring and SLA enforcement.

Soft Skills

• Strong problem-solving and analytical skills.
• Ability to work independently and in a global, collaborative team environment.
• Effective communication skills for technical and non-technical stakeholders.
• Proactive and adaptable mindset with focus on continuous improvement.
• Ability to coordinate across multiple teams and manage competing priorities.
• Strong documentation and knowledge-sharing mindset.

Requirements 'must have':

• Azure Databricks administration
• Snowflake administration
• Azure Data Factory pipeline design
• Python/PySpark/SQL scripting
• RBAC and access control management