Data Platform Engineer

• Implement, configure, and enhance data platform solutions based on established architectures and technical standards.
• Support cloud infrastructure provisioning, platform deployments, upgrades, migrations, and CI/CD automation.
• Collaborate with Cloud Infrastructure, Network, Security, and DevOps teams to ensure smooth and secure platform operations.
• Manage platform access, user provisioning, service requests, and operational tickets within agreed SLAs.
• Monitor platform performance, availability, and health while troubleshooting issues related to data ingestion, storage, compute, and system integrations.
• Investigate incidents, perform root cause analysis, and coordinate with internal teams and vendors to resolve technical issues.
• Maintain platform documentation, operational procedures, and compliance with security and governance standards.
• Drive continuous improvement through scripting, automation, enhanced monitoring, and platform reliability initiatives.

Qualifications:

• 3–8 years of experience in data engineering roles using CI/CD and modern orchestration tools.
• Proficient in DBT, Databricks, Kafka, and orchestration tools (Airflow, dbt Cloud).
• Hands-on experience in CI/CD using GitLab or similar. Strong Python and SQL skills.
• Good understanding of DataOps/MLOps principles, infrastructure-as-code, and containerization (Docker, Kubernetes).
• Familiarity with banking data governance, metadata, and risk compliance frameworks (e.g., BSP, ISO 27001).