Senior Cloud Data Engineer: Kubernetes & DataOps Lead

Tata Consultancy Services; Región Centro, Santiago de Querétaro, Monterrey; Hybrid; MXN 900,000 - 1,500,000; Full time

Benefits offered by this job

Direct contract

Benefits of law and above

Job summary

Tata Consultancy Services is seeking a Cloud Data Engineer Sr to lead enterprise data platform initiatives in Mexico. You will own Kubernetes, cloud deployments, data pipelines, and platform reliability across AWS and Azure, with hands-on leadership for Databricks, dbt, and Airflow.

The role supports hybrid work: 3 days per week in Guadalajara, Querétaro, Mexico City or Monterrey offices, with partners across architecture, security, and data teams to deliver scalable, compliant solutions.

Qualifications

• 6+ years in platform engineering, cloud infrastructure, DevOps, or production support.
• Advanced hands-on AWS and Azure experience for compute, storage, networking, security, and governance.
• Strong Kubernetes and Docker expertise including upgrades, deployment, and troubleshooting.
• Experience with Databricks, dbt, Airflow, AutoSys; LASR and Caspian preferred.
• Terraform and CI/CD platforms (Harness, Azure DevOps, GitHub Actions, Jenkins) with reusable modules.
• Scripting in Python, Shell, Bash, or PowerShell to automate tasks.

Responsibilities

• Provide technical leadership for Kubernetes and Docker environments including capacity planning and production troubleshooting.
• Enable platform for Databricks, dbt, Airflow, AutoSys, LASR, and Caspian with reliable integrations and scheduling.
• Design reusable automation, IaC, CI/CD pipelines, and self-service capabilities to improve speed and control.
• Upgrade, patch, vulnerability remediation, access governance, backup validation, and disaster recovery exercises.
• Review designs for scalability, security, resiliency, and compliance with enterprise standards.
• Partner with cross-functional teams to resolve dependencies and shape platform roadmaps.
• Identify risks, tech debt, incidents, and process gaps; define remediation plans and track closures.

Skills

Kubernetes

Docker

Python

Shell/Bash/PowerShell

AWS

Azure

CI/CD tooling

Tools

Databricks

dbt

Apache Airflow

AutoSys

LASR

Caspian

Terraform

Harness

Azure DevOps

GitHub Actions

Jenkins

Kubernetes

Docker

Job description

Tata Consultancy Services is seeking a Cloud Data Engineer Sr to lead enterprise data platform initiatives in Mexico. You will own Kubernetes, cloud deployments, data pipelines, and platform reliability across AWS and Azure, with hands-on leadership for Databricks, dbt, and Airflow.

The role supports hybrid work: 3 days per week in Guadalajara, Querétaro, Mexico City or Monterrey offices, with partners across architecture, security, and data teams to deliver scalable, compliant solutions.