Sr. DevOps Engineer - Snowflake
New
P
phDataData and AI Consulting
Location: US - Remote, Eastern and Central Time Zone, with shifts to support global clients.Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 6+ years
- Required Skills
- AWSPythonSQLSnowflakeAzureCI/CDDevOpsTerraform
Requirements
- 6+ years of experience in DevOps, cloud data platform operations, or production support.
- Working knowledge of SQL for querying, debugging, and optimization.
- Operational support experience for cloud-native data warehouses like Snowflake or Amazon Redshift.
- Hands-on experience with Relational Database Management Systems (Oracle or Microsoft SQL Server).
- Experience managing production data jobs and pipelines (ETL/ELT).
- Working knowledge of Unix/Linux environments and system administration concepts.
- Proficiency in Python for scripting and automation.
- Experience with cloud-native technologies on AWS or Azure (e.g., S3, ADLS, Azure Data Factory).
- Familiarity with ITIL processes and SLA-driven support environments.
- Familiarity with CI/CD tools (GitHub, Bitbucket) and Infrastructure-as-Code (Terraform).
- Experience using AI coding tools (Cursor, Copilot, Claude) with verified judgment.
- Strong English communication skills for client-facing collaboration.
Responsibilities
- Own and drive end-to-end operational support and incident management for modern cloud data platforms such as Snowflake and AI workloads.
- Monitor and support production data jobs and pipelines, ensuring timely resolution of failures.
- Respond to pager incidents, perform deep root-cause analysis, and implement preventative measures.
- Collaborate with data engineering, analytics, and architecture teams to deliver successful client engagements.
- Provide technical leadership during incident bridges, troubleshooting sessions, and design reviews.
- Contribute to operational playbooks, automation scripts, and monitoring standards.
- Use AI tools daily to accelerate troubleshooting, documentation, and knowledge capture.
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