Staff Databricks Engineer, Site Reliability Engineering
Kinaxis (company site, opens in a new tab)10+ yrsOn-siteDirect career pageEst. 30–50 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, implementation, and operation of complex cloud infrastructure projects focusing on both site reliability engineering and data analytics.
- Transition legacy systems to a cloud-native modern data stack using tools like Snowflake, Databricks, Airflow, and others while ensuring service availability and performance 24/7.
- Own cloud automation, monitoring, incident response, cost optimization, and serve as technical lead during critical escalations with global teams.
Minimum Requirements
- Bachelor's or Master's degree in Engineering with specialization in Computer Science or equivalent experience.
- 10+ years experience in deployment, monitoring, and operation of distributed systems and cloud services (GCP, Azure, or AWS).
- Prior site reliability engineering experience and hands-on with Snowflake, Databricks, Informatica, dbt, BigQuery, Looker, or Power BI.
- Expertise in scripting (Ansible, PowerShell, Bash, Python), Infrastructure as Code (Terraform), CI/CD (Git, Argo CD), containers (Docker, Kubernetes), and monitoring tools (Datadog, Prometheus).
Ideal Candidate Profile
- Experienced in designing and managing scalable, secure cloud infrastructure with a focus on automation, monitoring, and operational excellence.
- Comfortable working across both SRE practices and data analytics tooling within a global production environment supporting enterprise customers.
- Demonstrates strong system design knowledge balancing operational and reliability trade-offs and effective communication for cross-team collaboration and escalation management.