Lead Platform Engineer

Overview 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. Responsibilities Lead small team the migration and modernization of data platforms, moving applications and pipelines to Azure-based solutions. Actively contribute to code development in projects and services. Manage and scale data pipelines from internal and external data sources to support new product launches and ensure high data quality. Develop automation and monitoring frameworks to capture key metrics and operational KPIs for pipeline performance. Implement best practices around systems integration, security, performance, and data management. Collaborate with internal teams, including stakeholders and product teams, to drive solutioning and proof-of-concept (PoC) discussions. Develop and optimize procedures to transition data into production. Define and manage SLAs for data products and operational processes. Prototype and build scalable solutions for data engineering and analytics. Research and apply state-of-the-art methodologies in data and Platform engineering. Create and maintain technical documentation for knowledge sharing. Develop reusable packages and libraries to enhance development efficiency. Compensation and Benefits: The expected compensation range for this position is between $106,400 - $178,100. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications Bachelor’s degree in Computer Science, MIS, Business Management, or related field 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 lagacy RDBMS (Oracl, DB2, Teradata) Background in supporting data science models in production EEO Statement Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy. Please view our Pay Transparency Statement


Lead small team the migration and modernization of data platforms, moving applications and pipelines to Azure-based solutions. Actively contribute to code development in projects and services. Manage and scale data pipelines from internal and external data sources to support new product launches and ensure high data quality. Develop automation and monitoring frameworks to capture key metrics and operational KPIs for pipeline performance. Implement best practices around systems integration, security, performance, and data management. Collaborate with internal teams, including stakeholders and product teams, to drive solutioning and proof-of-concept (PoC) discussions. Develop and optimize procedures to transition data into production. Define and manage SLAs for data products and operational processes. Prototype and build scalable solutions for data engineering and analytics. Research and apply state-of-the-art methodologies in data and Platform engineering. Create and maintain technical documentation for knowledge sharing. Develop reusable packages and libraries to enhance development efficiency. Compensation and Benefits: The expected compensation range for this position is between $106,400 - $178,100. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.


Bachelor’s degree in Computer Science, MIS, Business Management, or related field 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 lagacy RDBMS (Oracl, DB2, Teradata) Background in supporting data science models in production