{"id":1986374,"url":"https://alion.io/job/capgemini-senior-data-operations-engineer","title":"Senior Data Operations Engineer","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":81,"open_postings":1665,"ghost_share":0,"stale_share":0.74,"repost_share":0.001,"time_to_fill_p50_days":27,"computed_at":"2026-10-09T06:01:00Z"}},"role":"Data Science","role_family":"Data Science","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":34000,"max_usd":86000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1839},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","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}],"status":"live","first_seen_at":"2026-10-07T00:39:24Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-10T01:04:01Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Capgemini\nChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\nYour Role\nWe are seeking a proactive and customer-focused Senior Data Operations Engineer to support and maintain our enterprise data platform. This role combines platform operations, production support, deployment management, governance, automation, and continuous improvement. The ideal candidate demonstrates strong technical expertise, ownership, and a willingness to go beyond assigned responsibilities to ensure platform stability and business success.\nSnowPro Advanced Administrator\nSnowPro Advanced Data Engineer\nSnowPro Architect\nStrong ownership and accountability.\nCustomer-first mindset.\nExcellent communication and collaboration skills.\nContinuous learning and improvement attitude.\nWillingness to step in and support cross-functional needs when business priorities require it.\nYour Profile\n5+ years of experience in Data Platform Operations, Snowflake Administration, or Cloud Operations.\nExperience supporting mission-critical production environments.\nStrong analytical, troubleshooting, and customer service skills.\nAbility to work independently, take ownership, and support business-critical initiatives.\nAdminister and support Snowflake environments across Production, QA, Development, and DR.\nManage user provisioning, RBAC, access controls, service accounts, warehouses, databases, schemas, and platform configurations.\nExecute and support production deployments for Snowflake, DBT, Matillion, Streamlit, Control-M, and related technologies.\nMonitor platform performance, usage, costs, alerts, and operational health.\nTroubleshoot incidents, perform root cause analysis, and drive issues through resolution.\nHandle ServiceNow requests, changes, and operational support activities.\nDevelop and maintain automation solutions using Python, SQL, APIs, and GitHub.\nSupport governance, audit, compliance, security reviews, and access certifications.\nMaintain operational documentation, SOPs, runbooks, and knowledge articles.\nCollaborate with Engineering, Data, Infrastructure, Security, and Business teams.\nIdentify and implement process improvements to enhance reliability, efficiency, and customer experience.\nSnowflake Administration & Operations\nAdvanced SQL\nPython Scripting & Automation\nGitHub / CI-CD\nServiceNow\nIncident, Change, and Release Management\nPerformance Monitoring & Troubleshooting\nCloud Platforms (AWS)\nDBT\nMatillion\nStreamlit\nSnowpark\nControl-M\nAutosys\nDevOps\nREST APIs\nDataOps / DevOps Practices\nMonitoring Tools (Datadog)\nWhat you’ll love\nEmpowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges.\nGrowth and Learning at Every Step: Access continuous learning through internal academies, certifications and mentorship.\nOwn your growth: Open access to digital learning platforms\nAbout Capgemini\nCapgemini (Footer)\nCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of\nover 420,000 team members in more than 50 countries. We deliver end-toend services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.\nAt Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome\nand will be considered based on merit against the job and/or experience for the position.\nJob Description\nData engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.\nJob Description - Grade Specific\nThe primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. 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