{"id":3583530,"url":"https://alion.io/job/capgemini-platform-engineer-snowflake-platform-2","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":79,"open_postings":1757,"ghost_share":0.004,"stale_share":0.812,"repost_share":0.018,"time_to_fill_p50_days":30,"computed_at":"2026-11-05T05:54:30Z"}},"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":30000,"max_usd":84000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3508},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"Datadog","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Matillion","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-30T22:41:01Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-05T12:09:32Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"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\nDesign and develop platform automation solutions using Snowflake, Python, SQL, Streamlit, and GitHub.\nBuild and enhance enterprise capabilities for:\nAccess Management Frameworks\nData Classification & Tagging\nDynamic Data Masking\nGovernance Applications\nAI Agents and Snowflake Cortex Solutions\nDevelop POCs, accelerators, and reusable platform services for Data Engineering and Analytics teams.\nImplement secure data-sharing solutions, multi-account Snowflake architectures, and automated deployment frameworks.\nCreate CI/CD pipelines, GitHub Actions, and automated release processes.\nEvaluate emerging Snowflake capabilities and recommend adoption strategies to improve platform efficiency and reduce operational costs.\nDevelop monitoring, troubleshooting, and RCA automation solutions for enterprise data products.\nPartner with Architecture, Governance, Data Engineering, and Operations teams to deliver enterprise platform improvements.\nFollow SDLC, audit, change management, and segregation-of-duty requirements across all platform initiatives.\nYour Profile\n7+ years of experience in Data Platform Engineering, Cloud Engineering, or Snowflake Engineering.\nStrong expertise in:\nSnowflake Administration\nRBAC, Roles, Grants, Warehouses, Resource Monitors\nAuthentication Policies, Network Policies, Service Accounts\nSnowflake Streams, Tasks, Dynamic Tables, Stored Procedures and Secure Shares\nPython Development and Automation\nSQL Performance Tuning and Query Optimization\nGitHub, CI/CD, and DevOps Practices\nStreamlit and Snowflake Cortex\nDatadog or Enterprise Monitoring Tools\nExperience with dbt, Matillion, Fivetran, Striim, and Control-M.\nStrong troubleshooting, root cause analysis, and production support experience.\nSnowPro Core Certification (Required).\nSnowPro Advanced Administrator or Architect Certification (Preferred).\nExperience with AI/ML enablement, Snowflake Cortex, AI Agents, and governance automation.\nExperience in highly regulated SOX/SOC audit environments.\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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