Skip to main content
phData

Sr. DevOps Engineer - Snowflake

RemoteUnited States only
Published
Role
DevOps
Experience
Senior
Salary not disclosed
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

phData is seeking a Senior DevOps Engineer (Cloud) to join their Elastic Operations (Managed Services) team. This role involves leading technical delivery and operational reliability for modern cloud data and AI platforms like Snowflake, Anthropic, and solutions on AWS and Azure for managed services clients.

Core skills

AWSAzureSnowflake

Required skills

SQLOracleMicrosoft SQL ServerUnixLinuxPythonS3ADLSAzure Data FactoryITILGitHubBitbucketTerraformAmazon RedshiftCursorGitHub CopilotClaudeChatGPT

Optional skills

DatabricksAmazon S3Azure Data Lake StorageAnthropic ClaudeSparkKafkaMatillionFivetran

Required languages

English Strong

What you'll do

  • Own and drive end-to-end operational support and incident management for modern cloud data platforms (e.g., Snowflake, AI workloads on Anthropic, data lakes, analytics platforms) across multiple client environments.
  • Translate business and data requirements into resilient, cost-effective operational solutions that align with phData methodologies, standards, and best practices.
  • Monitor and support production data jobs and pipelines (ETL/ELT), ensuring timely resolution of failures and minimizing business impact.
  • Respond to pager incidents, perform deep root-cause analysis, and implement preventative measures across customer processes and workflows.
  • Provide technical leadership during incident bridges, troubleshooting sessions, and design or runbook reviews, especially across Snowflake and cloud platform services.

What they require

  • 6+ years of experience in DevOps, cloud data platform operations, and/or production support for data and analytics workloads.
  • Working knowledge of SQL with the ability to write, debug, and optimize queries.
  • Experience providing operational support for a cloud-native data warehouse (Snowflake and/or Amazon Redshift) across a large user base.
  • Basic proficiency in writing and optimizing Python programs for scripting and automation.
  • Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.

Benefits

  • Remote-First Work Environment
  • 401k plan with company match
  • Dental and Vision insurance
  • Home Office Equipment Stipend
  • Annual stipend for Learning and Development

Data and AI Consultancy

NullMid-size
Salary not disclosed