
201 - 500 employees
Founded 2014
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
💰 $2.5M Seed Round on 2018-03
Consulting • Healthcare • Manufacturing
phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.
🔥 0 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2014
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
💰 $2.5M Seed Round on 2018-03
Consulting • Healthcare • Manufacturing
phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.
• 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.
• 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.
• 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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