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Capgemini

Onsite Production Support / Application Support Lead (Data Platform)

Aguascalientes, MX

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hirly's read of this role

Seniority
Lead / management
Country
MX
Work mode
On-site / unstated
First seen by hirly
7 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

  • Lead production support operations for Data & Analytics platforms, ensuring stable operations, rapid incident resolution, SLA adherence, stakeholder communication, and effective coordination with offshore teams.
  • Mandatory Skills:
  • Databricks troubleshooting and support (hands-on)
  • SQL and Data Analysis
  • Google Cloud Platform (GCP)
  • Airflow orchestration and DAG troubleshooting
  • Power BI
  • Incident, Problem and Change Management
  • Production/Application Support Operations

Your Profile

  • 7+ years of IT experience
  • Minimum 3+ years in Production/Application Support
  • Strong experience supporting Databricks, GCP, Airflow, and data platforms in production environments
  • Experience managing client-facing support engagements
  • Experience leading offshore support teams
  • Independently manage and drive resolution of P1/P2 incidents
  • Perform RCA and coordinate permanent fixes
  • Interact directly with client stakeholders and business users
  • Lead coordination between onsite and offshore teams
  • Monitor production workloads and ensure SLA compliance
  • Drive problem management and recurring issue elimination
  • Support change and release management activities
  • Establish proactive monitoring and operational excellence practices
  • P1/P2 Incident Management
  • Airflow DAG failures impacting SLAs
  • Databricks job and cluster troubleshooting
  • GCP support operations (Composer, BigQuery, GCS, monitoring/alerting)
  • Client communication during outages and escalations
  • RCA presentation and closure ownership
  • Offshore team coordination
  • KT absorption capability
  • Ability to operate independently with minimal supervision

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.

Original posting on Capgemini's site ↗

Listed on hirly, a job board. hirly is not the employer: Capgemini is hiring for this role.

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