Senior DevOps Engineer - Snowflake
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Job Description
Senior DevOps Engineer operating Snowflake and cloud AI platforms for phData, a data and AI consultancy. Leading managed-services reliability, incident response, automation, and client delivery.
Responsibilities:
- Lead technical delivery and operational reliability of cloud data and AI platforms, including Snowflake, Anthropic, AWS, and Azure solutions.
- Own end-to-end operational support and incident management across multiple client environments.
- Translate business and data requirements into resilient, cost-effective operational solutions.
- Monitor and support production ETL/ELT jobs and pipelines, resolving failures promptly.
- Respond to pager incidents, perform root-cause analysis, and implement preventative measures.
- Ensure engagements are delivered on time, within scope, and with measurable client value.
- Collaborate with data engineering, analytics, solutions architecture, clients, and other stakeholders.
- Provide technical leadership during incident bridges, troubleshooting sessions, and design or runbook reviews.
- Maintain documentation, knowledge articles, runbooks, governance, and change-management processes.
- Improve operational maturity, standardize patterns, and enhance client satisfaction.
- Build operational playbooks, automation scripts, monitoring standards, and training materials.
- Mentor peers and junior DevOps engineers through knowledge sharing and coaching.
- Use AI tools daily for troubleshooting, automation, documentation, and knowledge capture, validating outputs before production use.
- Advise senior client stakeholders on operational strategy, reliability, and performance optimization.
- Lead complex incident and problem-management efforts and drive long-term remediation and platform improvements.
- Define and refine managed-services standards, reusable assets, and delivery frameworks.
Requirements:
- 6+ years of experience in DevOps, cloud data platform operations, and/or production support for data and analytics workloads.
- Working knowledge of SQL, including writing, debugging, and optimizing queries.
- Experience supporting Snowflake and/or Amazon Redshift across a large user base.
- Hands-on experience with Oracle or Microsoft SQL Server.
- Production support experience monitoring scheduled ETL/ELT jobs and pipelines.
- Working knowledge of Unix/Linux and system administration concepts.
- Basic proficiency writing and optimizing Python for scripting and automation.
- Experience with AWS and/or Azure cloud-native data services, such as S3, ADLS, or Azure Data Factory.
- Familiarity with ITIL processes and SLA-driven support environments.
- Strong troubleshooting, performance tuning, and incident/problem management skills.
- Strong client-facing written and verbal communication skills.
- Active daily use of AI coding tools such as Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent.
- Ability to describe engineering tasks completed with AI assistance.
- Familiarity with CI/CD tools such as GitHub or Bitbucket.
- Exposure to infrastructure-as-code tools such as Terraform.
- Experience delivering projects for external or internal clients in professional services or consulting.
- Strong written and verbal communication skills in English.
- Ability to work effectively with distributed and cross-functional teams.
- Proven ownership, prioritization, and delivery with minimal supervision.
- Bachelor’s degree in Computer Science, Information Technology, or a related field is listed under 'Education - If desired' and is not required.
Benefits:
- Remote-First Work Environment
- 401k plan with company match
- Dental and Vision insurance
- Home Office Equipment Stipend
- Annual stipend for Learning and Development
- Competitive comp
- Excellent benefits
- 4 weeks PTO plan
- 10 Holidays
- Challenging projects
- Mentorship
- Structured development pathways
- Supportive, high-performing global team
- Transparency, autonomy, and continuous improvement
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