{"id":2763664,"url":"https://alion.io/job/capgemini-platform-engineer-snowflake-platform","title":"Platform Engineer (Snowflake Platform)","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1756,"ghost_share":0,"stale_share":0.78,"repost_share":0.003,"time_to_fill_p50_days":28,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Aguascalientes, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":86000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3074},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub","optional":false},{"name":"Matillion","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Datadog","optional":true},{"name":"Incident Management","optional":true}],"status":"live","first_seen_at":"2026-10-15T06:44:14Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-17T13:46:41Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"The Senior Data Operations Engineer is responsible for ensuring the stability, availability, security, and operational excellence of the enterprise data platform. This role focuses on Snowflake administration, production support, platform operations, deployment management, automation, governance, and continuous improvement. The engineer will work closely with Data Engineering, Infrastructure, Security, and Business teams to support mission-critical data environments while driving reliability, efficiency, and customer satisfaction.\nKey Responsibilities\nSnowflake Platform Administration\nAdminister and support Snowflake environments across Production, QA, Development, and Disaster Recovery (DR).\nManage user provisioning, role-based access controls (RBAC), service accounts, warehouses, databases, schemas, and platform configurations.\nEnsure platform security, governance, and compliance standards are maintained.\nProduction Support & Operations\nMonitor platform health, performance, utilization, costs, and operational alerts.\nTroubleshoot production incidents, perform root cause analysis, and drive issues through resolution.\nSupport operational activities including ServiceNow requests, incidents, changes, and releases.\nMaintain high availability and reliability for business-critical data platforms.\nDeployment & Release Management\nExecute and support deployments across Snowflake, DBT, Matillion, Streamlit, Control-M, and related technologies.\nManage release processes and change management activities following operational best practices.\nPartner with engineering teams to ensure successful production implementations.\nAutomation & Continuous Improvement\nDevelop and maintain automation solutions using Python, SQL, REST APIs, and GitHub.\nEnhance operational efficiency through scripting, monitoring, and process optimization.\nIdentify and implement improvements that increase platform reliability, scalability, and customer experience.\nGovernance & Documentation\nSupport audits, access certifications, compliance reviews, and security assessments.\nCreate and maintain operational documentation including SOPs, runbooks, knowledge articles, and support procedures.\nEnsure operational standards are consistently followed across the platform.\nCross-Functional Collaboration\nPartner with Data Engineering, Infrastructure, Security, and Business stakeholders to resolve issues and support platform initiatives.\nProvide technical expertise and operational guidance across teams.\nSupport evolving business priorities and cross-functional operational needs.\nRequired Qualifications\nBachelor’s degree in Computer Science, Information Technology, Engineering, or related field, or equivalent work experience.\n5+ years of experience in Data Platform Operations, Snowflake Administration, Cloud Operations, or related areas.\nExperience supporting mission-critical production environments.\nStrong analytical, troubleshooting, and problem-solving skills.\nDemonstrated ability to take ownership and independently drive operational initiatives.\nExcellent communication and customer service skills.\nRequired Technical Skills\nSnowflake Administration & Operations\nAdvanced SQL\nPython Scripting & Automation\nGitHub and CI/CD Processes\nServiceNow\nIncident, Change, and Release Management\nPerformance Monitoring & Troubleshooting\nAWS Cloud Platform\nPreferred Skills\nDBT\nMatillion\nStreamlit\nSnowpark\nControl-M\nAutosys\nDevOps Methodologies\nREST APIs\nDataOps Practices\nMonitoring Tools (Datadog)\nCertifications\nRequired\nSnowPro Core Certification\nPreferred\nSnowPro Advanced Administrator\nSnowPro Advanced Data Engineer\nSnowPro Architect\nSuccess Factors\nStrong sense of ownership and accountability.\nCustomer-first mindset with a focus on service excellence.\nExcellent verbal and written communication skills.\nStrong collaboration and stakeholder management abilities.\nContinuous learning and improvement mindset.\nFlexibility to support cross-functional initiatives and evolving business priorities.\nCAP Skills\nMandatory Skills\nSnowflake Administration\nSnowPro Core Certification\nSQL\nPython\nAWS\nServiceNow\nCI/CD\nGitHub\nIncident Management\nChange Management\nRelease Management\nRBAC & Access Control\nProduction Support\nTroubleshooting\nNice to Have\nDBT\nMatillion\nStreamlit\nSnowpark\nControl-M\nAutosys\nDatadog\nREST APIs\nDevOps\nDataOps\nWhat You'll Love\nOpportunity to work with enterprise-scale data platforms supporting mission-critical business operations.\nExposure to cutting-edge cloud data technologies including Snowflake, DataOps, automation frameworks, and cloud-native architectures.\nCollaboration with global Data Engineering, Cloud, Infrastructure, Security, and Operations teams.\nAccess to certifications, technical academies, and continuous learning opportunities focused on Snowflake, Cloud, Data Engineering, and Automation.\nCareer growth within Capgemini's global Data & AI practice.\nOpportunity to drive operational excellence, automation, governance, and platform reliability initiatives.\nInnovative, inclusive, and collaborative work environment focused on modern data and cloud technologies.\nNeed to Know\nCareer Development in Spanish & English\nAccess to learning paths, technical certifications, mentorship programs, leadership development initiatives, and technical communities designed to accelerate your growth in Data Engineering, Cloud Platforms, Snowflake technologies, and Data Operations.\nCommunity Engagement\nParticipate in innovation programs, technical forums, hackathons, communities of practice, knowledge-sharing initiatives, and collaboration opportunities across Capgemini's global Data & AI network.\nWork Environment\nJoin a highly collaborative team focused on operational excellence, platform reliability, automation, and continuous improvement while supporting business-critical data ecosystems.\nAbout Capgemini\nCapgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. The Group is a responsible and diverse organization with more than 340,000 team members in over 50 countries.\nWith a strong heritage of over 55 years, Capgemini is trusted by its clients to unlock the value of technology through end-to-end services and solutions, from strategy and design to engineering. Capgemini leverages market-leading capabilities in Cloud, Data, Artificial Intelligence, and Digital Engineering combined with deep industry expertise and strong partner ecosystems.\nAt Capgemini Mexico, we are committed to creating a diverse and inclusive workplace where everyone has equal opportunities. 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