Senior Data Operations Engineer

Capgemini; Aguascalientes; On-site; MXN 600,000 - 900,000; Full time

Job summary

Capgemini Mexico is seeking a Senior Data Operations Engineer to support and maintain our enterprise data platform. You will own platform stability, deploy Snowflake, DBT, Matillion, Streamlit, and related tools, while driving automation and governance with a customer‑centric mindset.

You will collaborate with Engineering, Data, Security, and Business teams to improve reliability, performance, and costs, ensuring robust, scalable data infrastructure for business outcomes.

Qualifications

• 5+ years in Data Platform Operations, Snowflake Admin, or Cloud Operations.
• Experience supporting mission‑critical production environments.
• Strong analytical, troubleshooting, and customer service skills.
• Ability to work independently and drive business‑critical initiatives.
• Experience deploying Snowflake, DBT, Matillion, Streamlit, and related tools.

Responsibilities

• Administer and support Snowflake environments across Production, QA, Development, and DR.
• Manage user provisioning, RBAC, access controls, service accounts, warehouses, databases, schemas, and configs.
• Execute and support production deployments for Snowflake, DBT, Matillion, Streamlit, Control-M, Autosys.
• Monitor platform performance, usage, costs, alerts, and health; troubleshoot incidents and perform RCA.
• Handle ServiceNow requests, changes, and operational support activities; maintain runbooks and SOPs.
• Develop automation using Python, SQL, APIs, and GitHub; support governance and security reviews.

Skills

Snowflake Administration

Python Scripting

SQL

DevOps

REST APIs

DataOps

AWS

GitHub / CI-CD

Monitoring/Debugging

Tools

Snowflake

DBT

Matillion

Streamlit

Control-M

Autosys

GitHub

REST APIs

Snowpark

Datadog

Job description

CapgeminiChoosing 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.Your RoleWe 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.SnowPro Advanced AdministratorSnowPro Advanced Data EngineerSnowPro ArchitectStrong ownership and accountability.Customer-first mindset.Excellent communication and collaboration skills.Continuous learning and improvement attitude.Willingness to step in and support cross-functional needs when business priorities require it.Your Profile5+ years of experience in Data Platform Operations, Snowflake Administration, or Cloud Operations.Experience supporting mission-critical production environments.Strong analytical, troubleshooting, and customer service skills.Ability to work independently, take ownership, and support business-critical initiatives.Administer and support Snowflake environments across Production, QA, Development, and DR.Manage user provisioning, RBAC, access controls, service accounts, warehouses, databases, schemas, and platform configurations.Execute and support production deployments for Snowflake, DBT, Matillion, Streamlit, Control-M, and related technologies.Monitor platform performance, usage, costs, alerts, and operational health.Troubleshoot incidents, perform root cause analysis, and drive issues through resolution.Handle ServiceNow requests, changes, and operational support activities.Develop and maintain automation solutions using Python, SQL, APIs, and GitHub.Support governance, audit, compliance, security reviews, and access certifications.Maintain operational documentation, SOPs, runbooks, and knowledge articles.Collaborate with Engineering, Data, Infrastructure, Security, and Business teams.Identify and implement process improvements to enhance reliability, efficiency, and customer experience.Snowflake Administration & OperationsAdvanced SQLPython Scripting & AutomationGitHub / CI-CDServiceNowIncident, Change, and Release ManagementPerformance Monitoring & TroubleshootingCloud Platforms (AWS)DBTMatillionStreamlitSnowparkControl-MAutosysDevOpsREST APIsDataOps / DevOps PracticesMonitoring Tools (Datadog)What you’ll loveEmpowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges.Growth and Learning at Every Step: Access continuous learning through internal academies, certifications and mentorship.Own your growth: Open access to digital learning platformsAbout CapgeminiCapgemini (Footer)Capgemini 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 ofover 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.At 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 welcomeand will be considered based on merit against the job and/or experience for the position.Job DescriptionData 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.Job Description - Grade SpecificThe primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.