Lead Platform Engineer

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As a member of the Platform engineering team, you will be the key techno functional expert leading and overseeing PepsiCo's Platforms & operations and drive a strong vision for how Platforms engineering can proactively create a positive impact on the business. You'll be an empowered Leader of a team of Platform engineers who build Platform products for platform optimization and cost optimization and build tools for Platform ops and Data Ops on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As Leader of the Platform engineering team, you will help in managing platform Governance team that builds frameworks to guardrail the platforms of very large and complex data applications in public cloud environments and directly impact the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems.

Your Impact

Your scope would consist of:

• Active contributor to cost optimization of platforms and services.
• Manage and scale Azure Data Platforms to support new product launches and drive Platform Stability and Observability across data products.
• Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for Data Platforms for cost and performance.
• Responsible for implementing best practices around system's integration, security, performance and Platform management.
• Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
• Collaborate with internal clients (data science and product teams) to drive solutions and POC discussions.
• Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
• Develop and optimize procedures to “production Alize” data science models.
• Define and manage SLAs for Platforms and processes running in production.
• Support large-scale experimentation done by data scientists.
• Prototype new approaches and build solutions at scale.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Create and audit reusable packages or libraries.

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.

¿Who Are We Looking For?

• 12+ years of overall technology experience that includes at least 4+ years of hands-on software development, Program management, and data engineering
• 4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
• 4+ years of experience in Databricks optimization and performance tuning
• Proficient in designing, developing and troubleshooting Azure Data Factory (ADF) pipelines.
• Strong expertise in both Databricks Pro and Databricks serverless compute environments.
• Deep understanding of Azure infrastructure and core services, including Storage Accounts, Synapse Analytics, Event Hubs and related components.
• Familiar with Azure networking fundamentals.
• Demonstrates a strong problem-solving mindset and having practical experience.
• Well-versed in high availability (HA) and disaster recovery (DR) strategies.
• Fluent with Azure cloud services. Azure Certification is a plus.
• Experience with integration of multi cloud services with on-premises technologies.
• Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.
• Experience building/operating