Ensure the secure and stable operation of the enterprise data platform (Snowflake, AWS data stack, dbt, orchestration tools, BI/analytics, etc.)

Provide operational coverage within an 8/5 support model and assist in responding to major incidents

Improve monitoring, alerting, and observability solutions for incident detection and resolution

Carry out platform updates, patching, and configuration management to comply with security and operational standards

Monitor performance metrics and collaborate on changes to meet shifting business needs

Use observability platforms to monitor infrastructure, data pipelines, and key services

Provide monitoring reports and insights to support better operational decisions

Help implement automation opportunities to reduce manual processes and improve efficiency

Collaborate on platform enhancements for resilience, scalability, and optimal cost management

Contribute to infrastructure-as-code and repetitive operational practices

Experience managing cloud-based data platforms for 2+ years (e.g., Snowflake, Databricks, BigQuery, or similar)

Understanding of cloud environments (AWS) with focus on operations and automation

Familiarity with monitoring tools (Datadog, Prometheus, Grafana, CloudWatch, etc.)

Basic knowledge of Infrastructure as Code (Terraform, Ansible) and configuration management

General understanding of security, networking, and compliance within cloud environments

Problem-solving skills with a team-focused, service-oriented approach

Flexibility to work in a global support model and assist with on-call responsibilities

Effective communication skills to collaborate with technical and non-technical teams

Commitment to improving operational processes and contributing to platform performance

English level B1+ for effective communication

Background in cost optimization strategies or FinOps best practices

Experience working in regulated industries (pharma, healthcare, finance) or compliance-centric environments

Knowledge of modern data stack tools (dbt, Dagster/Airflow, Tableau, Power BI)

Understanding of foundational SRE (Site Reliability Engineering) practices