Senior Data

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How you will contribute

You will:

• Execute the business analytics agenda in conjunction with analytics team leaders
• Work with best-in-class external partners who leverage analytics tools and processes
• Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• Using data analysis to make recommendations to analytic leaders
• Understanding in best-in-class analytics practices
• Knowledge of Indicators (KPI's) and scorecards
• Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus

We are aware of our role as transformation agents to generate positive change, so diversity, equity and inclusion are one of our priorities. We believe in breaking down stereotypes and barriers to ensure the representation of society within our company. And for that, we have a Diversity Committee that operates on four fronts, People with disabilities (PCD), Ethnic-Racial, Women and LGBTQIAP+, in addition to being part of MOVER – Movimento pela Equidade Racial.

Job Summary

We are seeking a Senior D&A Platform Automation Engineer to accelerate the Data & Analytics (D&A) platform by automating the provisioning of GCP and Databricks resources. This role ensures that analytics teams can seamlessly access scalable, secure, and cost-efficient cloud services. You will use Terraform and modern automation practices to standardize resource creation, embed governance, and simplify onboarding for D&A projects.

D&A Platform Provisioning

• Design, implement, and maintain reusable Terraform modules to provision D&A services such as BigQuery, Dataproc, Databricks, Cloud Composer, GCS, Pub/Sub, and related IAM.
• Automate onboarding of analytics projects, datasets, clusters, jobs, and permissions to enable self-service for data teams.
• Implement tagging, labeling, and cost-allocation policies aligned with D&A FinOps practices.

Automation & Governance

• Build and manage CI/CD pipelines for Terraform deployments using GitHub Actions and Spacelift (or equivalent).
• Apply policy-as-code and guardrails to ensure compliance, security, and governance for D&A infrastructure.
• Standardize GitOps workflows for consistent, auditable, and peer-reviewed platform changes.

Reliability & Enablement

• Ensure platform resources follow best practices in scalability, cost efficiency, and reliability.
• Collaborate with CloudOps, Security, and FinOps teams to align with enterprise standards while focusing on D&A needs.
• Provide reusable patterns, documentation, and knowledge sharing to accelerate analytics project onboarding.

• Experience with Terraform and Infrastructure as Code (IaC), with strong expertise in GCP data/analytics services.
• Proven experience automating Databricks resources (clusters, jobs, users, ACLs) using Terraform.
• Strong hands-on experience with CI/CD for IaC (Spacelift, Terraform Cloud, or similar tools).
• Solid knowledge of IAM, org policies, and cost optimization in GCP.
• Strong scripting and debugging skills to troubleshoot Terraform modules and automation pipelines.

• Exposure to FinOps strategies: tagging standards, budget alerts, and cost governance.
• Familiarity with SRE concepts applied to data platforms (SLOs, error budgets, monitoring, alerting).
• HashiCorp Certified: Terraform Associate or Architect.
• Experience with container orchestration (GKE/Kubernetes) and Cloud Composer is a plus.

Bachelor's degree in Engineering, Computer Science, Information Systems, Statistics, Mathematics, Economics or related fields.

Mondelez International is attentive to the future of work and values the wellbeing of our people, seeking to provide the best experiences. Therefore, some of our administrative vacancies are eligible for the hybrid model, allowing remote work on certain days of the week.

Mondelez International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type Regular Analytics & Modelling Analytics & Data Science