Senior Data Operations Engineer

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

As a Senior Data Operations Engineer at Capgemini, you will be responsible for the operational excellence, reliability, and continuous improvement of enterprise data platforms built on Snowflake and cloud technologies. You will play a critical role in supporting production environments, deployments, governance initiatives, automation programs, and platform optimization efforts.

You will work closely with Data Engineering, Infrastructure, Security, Governance, and Business teams to ensure platform stability, operational efficiency, and the successful delivery of business-critical data services. This role requires a strong ownership mindset, technical expertise, and a passion for delivering exceptional customer experiences.

Responsibilities & Scope

Data Platform Operations

• Administer and support Snowflake environments across:
• Production
• Quality Assurance (QA)
• Development
• Disaster Recovery (DR)
• Manage platform configurations, operational processes, and environment health.
• Ensure platform availability, scalability, reliability, and performance.
• Support mission-critical business operations that rely on enterprise data platforms.

Snowflake Administration

• Manage:
• User provisioning and deprovisioning
• Role-Based Access Control (RBAC)
• Service accounts
• Databases
• Schemas
• Warehouses
• Security configurations
• Implement and maintain governance, access controls, and platform standards.
• Support security reviews, audits, compliance initiatives, and access certifications.

Production Support & Release Management

• Execute and support deployments across:
• Snowflake
• dbt
• Matillion
• Streamlit
• Control-M
• Related platform technologies
• Participate in incident, change, release, and problem management activities.
• Troubleshoot platform issues and perform root cause analysis.
• Drive issues through resolution while minimizing business impact.
• Support ServiceNow requests, operational tickets, and platform changes.

Automation & Engineering Excellence

• Develop and maintain automation solutions using:
• Python
• SQL
• APIs
• GitHub
• Improve operational processes through automation and self-service capabilities.
• Support CI/CD and DevOps initiatives for data platform operations.
• Contribute to platform standardization and operational maturity programs.

Monitoring & Reliability Engineering

• Monitor platform:
• Performance
• Usage
• Storage
• Cost optimization
• Capacity
• Operational health
• Implement proactive monitoring, alerting, and troubleshooting processes.
• Support observability and reliability initiatives across the data platform ecosystem.
• Identify and implement improvements that enhance platform reliability and customer experience.

Governance & Documentation

• Maintain:
• Standard Operating Procedures (SOPs)
• Runbooks
• Knowledge Base Articles
• Technical Documentation
• Support governance, compliance, audit, and operational readiness initiatives.
• Ensure adherence to enterprise security, data governance, and operational standards.

Cross-Functional Collaboration

• Partner with Data Engineering, Infrastructure, Security, Governance, and Business teams.
• Support strategic initiatives and platform enhancements.
• Provide technical guidance and operational expertise across projects and support activities.
• Contribute to continuous improvement and operational excellence programs.

Your Profile

• Customer-focused professional – Committed to delivering reliable and high-quality platform services.
• Operations expert – Passionate about stability, performance, and operational excellence.
• Problem solver – Skilled at diagnosing and resolving complex technical issues.
• Automation advocate – Continuously identifies opportunities to improve efficiency through automation.
• Ownership mindset – Takes accountability for outcomes and drives issues through resolution.
• Collaborative team player – Works effectively across business and technical organizations.

Qualifications & Preferred Skills

Required Qualifications

• 5+ years of experience in:
• Data Platform Operations
• Snowflake Administration
• Cloud Operations
• Data Infrastructure Support
• Experience supporting business-critical production environments.
• Strong troubleshooting, analytical, and problem-solving skills.
• Ability to work independently and manage multiple priorities.

Required Skills

Snowflake Platform Administration

• Snowflake Administration & Operations
• Security and Access Management
• RBAC Implementation
• Environment Management
• Performance Monitoring
• Operational Support

Data & Automation

• Advanced SQL
• Python Scripting
• Automation Development
• API Integration
• Operational Reporting

Cloud & DevOps

• AWS Cloud Services
• GitHub
• CI/CD Pipelines
• Release Management
• Change Management
• Incident Management

Operational Excellence

• ServiceNow
• Root Cause Analysis
• Performance Monitoring
• Capacity Planning
• Platform Reliability
• Operational Governance

Preferred Skills

• dbt
• Matillion
• Streamlit
• Snowpark
• Control-M
• AutoSys
• DevOps Practices
• DataOps Methodologies
• REST APIs
• Datadog or similar monitoring platforms
• Infrastructure Automation
• Cloud Governance Frameworks

Certifications

Required

• SnowPro Core Certification

Preferred

• SnowPro Advanced Administrator
• SnowPro Advanced Data Engineer
• SnowPro Architect
• AWS Certifications
• DevOps Certifications

What You'll Love

• Opportunity to support and optimize enterprise-scale data platforms.
• Exposure to modern cloud, data, and platform technologies.
• Access to certifications, technical academies, and continuous learning opportunities.
• Collaboration with global Data, Cloud, Security, and Engineering teams.
• Inclusive and innovative work environment focused on operational excellence.
• Career growth opportunities within Capgemini's Data & AI practice.

Need to Know

Career Development in Spanish & English: Access to technical certifications, mentorship programs, learning paths, and professional development opportunities focused on Snowflake, Cloud Operations, and Data Platforms.

Community Engagement: Participate in innovation initiatives, technical communities, certification programs, knowledge-sharing sessions, and networking opportunities across Capgemini.

About Capgemini

Capgemini 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. It is a responsible and diverse organization with more than 340,000 team members in over 50 countries.

With a strong heritage of more than 55 years, Capgemini helps clients unlock the value of technology through end-to-end services and solutions, leveraging capabilities in strategy and design, engineering, AI, generative AI, cloud, data, and digital transformation.

At Capgemini Mexico, we are committed to fostering a diverse and inclusive workplace where everyone has equal opportunities. We welcome applications from all qualified candidates and evaluate them based on merit, skills, qualifications, and experience relevant to the role.