Senior Data Operations Engineer

Capgemini · Aguascalientes, Mexico · On site · 7 days ago

Sign up to apply
Your first one is free
Posted October 06, 2026 · Read from Capgemini
Why a CV for this job?

94% of employers say their filters drop qualified candidates whose CV does not match the ad's exact criteria (Harvard Business School, 2021).

  • They see what they asked for, first. Your experience that matches the ad leads, in the ad's own words, so someone skimming finds it in seconds.
  • It gets past the software. Many larger employers use software that ranks CVs by how closely they match the ad, often before anyone reads them.
  • In the language of the ad. An ad written in Spanish gets a CV in Spanish, even when yours is in Portuguese.
  • Your facts, nothing invented. Your own experience, reordered and reworded. What the ad wants and your CV does not show is listed for you to add, only if it is true. You check it before you send it.
See an example

Capgemini

Choosing 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 Role

We 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 Administrator

SnowPro Advanced Data Engineer

SnowPro Architect

Strong 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 Profile

5+ 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 & Operations

Advanced SQL

Python Scripting & Automation

GitHub / CI-CD

ServiceNow

Incident, Change, and Release Management

Performance Monitoring & Troubleshooting

Cloud Platforms (AWS)

DBT

Matillion

Streamlit

Snowpark

Control-M

Autosys

DevOps

REST APIs

DataOps / DevOps Practices

Monitoring Tools (Datadog)

What you’ll love

Empowered 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 platforms

About Capgemini

Capgemini (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 of

over 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 welcome

and will be considered based on merit against the job and/or experience for the position.

Job Description

Data 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 Specific

The 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.

Employer
Capgemini
Location
Aguascalientes, Mexico · On site