Lead Data Platform Engineer – Transformation & Modernization

Overview

We Are PepsiCo

Join PepsiCo and Dare for Better! We are the perfect place for curious people, thinkers, and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place.

Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries.

Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade, and Sonrics, has been a part of Mexican homes for more than 116 years.

A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.

Know more: PepsiCoJobs

Join PepsiCo, dare for better.

Responsibilities

The Opportunity

A Lead Platform Engineer to be a key player in our transformation and modernization programs, leading the migration of applications from legacy systems to Azure-based architectures. This role involves designing, implementing, and optimizing scalable, cloud-native data solutions using Databricks, Azure DevOps (ADO), and Agile development methodologies. As an active contributor to code development, you will help drive automation, operational excellence, and data quality across our platforms. You will collaborate with stakeholders and product teams to create solutions that enable our data-driven decision-making capabilities.

Your Impact

As Lead Data Platform Engineer – Transformation & Modernization your scope would consist of:

1. Lead the migration and modernization of data platforms, moving applications and pipelines to Azure-based solutions.
2. Actively contribute to code development in projects and services.
3. Manage and scale data pipelines from internal and external data sources to support new product launches and ensure high data quality.
4. Develop automation and monitoring frameworks to capture key metrics and operational KPIs for pipeline performance.
5. Implement best practices around systems integration, security, performance, and data management.
6. Collaborate with internal teams, including data science and product teams, to drive solutioning and proof-of-concept (PoC) discussions.
7. Develop and optimize procedures to transition data into production.
8. Define and manage SLAs for data products and operational processes.
9. Prototype and build scalable solutions for data engineering and analytics.
10. Research and apply state-of-the-art methodologies in data and platform engineering.
11. Create and maintain technical documentation for knowledge sharing.
12. Develop reusable packages and libraries to enhance development efficiency.

Qualifications

Who Are We Looking For?

Education

• Bachelor’s degree in Computer Science, MIS, Business Management, or related field

Experience

• 10 + years’ experience in Information Technology

• 4 + years of Azure, AWS, and Cloud technologies

• Experience in data platform engineering, with a focus on cloud transformation and modernization.

• Strong knowledge of Azure services, including Databricks, Azure Data Factory, Synapse Analytics, and Azure DevOps (ADO).

• Proficiency in SQL, Python, and Spark for data engineering tasks.

• Hands-on experience building and scaling data pipelines in cloud environments.

• Experience with CI/CD pipeline management in Azure DevOps (ADO).

• Understanding of data governance, security, and compliance best practices.

• Experience working in an Agile development environment.

• Prior experience in migrating applications from legacy platforms to the cloud.

• Knowledge of Terraform or Infrastructure-as-Code (IaC) for cloud resource management.

• Familiarity with Kafka, Event Hubs, or other real-time data streaming solutions.

• Experience with legacy RDBMS (Teradata a plus)

• Background in supporting data science models in production.

If this is an opportunity that interests you, we encourage you to apply even if you do not meet 100% of the requirements.

What can you expect from us:

• Opportunities to learn and develop every day through a wide range of programs.
• Internal digital platforms that promote self-learning.
• Development programs according to Leadership skills.
• Specialized training according to the role.
• Learning experiences with internal and external providers.
• We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others.
• Financial wellness programs that will help you reach your goals in all stages of life.
• A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.
• And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a workforce and innovation for the organization.