Senior Cloud DevOps Engineer – Data & AI Platforms

phData

United States

Remote

USD 140,000 - 210,000

Full time

7 days ago
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Benefits offered by this job

Remote-First Work Environment
401k plan with company match
Dental and Vision insurance
Home Office Equipment Stipend
Annual Learning & Development stipend
4 weeks PTO + 10 Holidays

Job summary

phData, a remote-first data and AI consultancy, seeks a Senior DevOps Engineer (Cloud) to lead delivery and reliability of modern cloud data platforms for managed services clients in the US. You will automate, troubleshoot, and document; collaborate with data engineering, analytics, and client stakeholders; leverage AI tools to accelerate workflows while ensuring governance and security.

Ideal candidates have 6+ years in DevOps, cloud data, and production support, with Snowflake, AWS, Azure, and

Qualifications

  • 6+ years of DevOps cloud data platform experience, production support.
  • Strong knowledge of SQL for querying and tuning.
  • Experience with Snowflake and cloud-native data warehouses.
  • Proficiency in Python for scripting and automation.
  • Familiarity with CI/CD and IaC tooling (Terraform).

Responsibilities

  • Own end-to-end operational support for cloud data platforms across client environments.
  • Automate, monitor, and optimize data pipelines and jobs (ETL/ELT).
  • Lead incident management with root-cause analysis and remediation.
  • Collaborate with data engineering and analytics teams and clients.
  • Document runbooks, best practices, and governance processes.

Skills

DevOps
Cloud platforms
Snowflake
Python scripting
Linux/Unix
CI/CD
Airflow
SQL

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake
AWS
Azure
Terraform
GitHub

Job description

phData, a remote-first data and AI consultancy, seeks a Senior DevOps Engineer (Cloud) to lead delivery and reliability of modern cloud data platforms for managed services clients in the US. You will automate, troubleshoot, and document; collaborate with data engineering, analytics, and client stakeholders; leverage AI tools to accelerate workflows while ensuring governance and security.

Ideal candidates have 6+ years in DevOps, cloud data, and production support, with Snowflake, AWS, Azure, and

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