Data Management & Operations Associate Manager

PepsiCo • Plano, TX

10d • Hybrid

About The Position

This role involves designing, building, and maintaining backend systems and services using Python, developing robust APIs and microservices, and architecting data lake and data warehouse solutions. The position also requires designing and optimizing databases, creating high-volume ETL/ELT pipelines, automating deployment workflows using DevOps practices, managing source code, and developing data-driven solutions using advanced generative AI techniques.

Requirements

• Bachelor's (US or Foreign Equivalent) degree in Computer Science, Information Technology, Data Science, Computer Engineering, or related field.
• Six (6) years of experience in Software Development, Data Science or Data Analytics.
• Five (5) years’ experience in Hands-on experience on software development and system architecture using object-oriented programming.
• Five (5) years’ experience in Version control systems such as Github and deployment & CI tools.
• Five (5) years’ experience in Working knowledge of agile development, including DevOps and DataOps concepts.
• Five (5) years’ experience in System/Cloud security tools SAML or OKTA.
• Five (5) years’ experience in Database management, designing, optimizing, and managing SQL and NoSQL databases, such as Oracle, PostgreSQL, Azure SQL, and MS SQL.
• Four (4) years’ experience in Building high volume ETL/ELT pipelines.
• Four (4) years’ experience in Building custom reporting tools with UI technologies in at least three of the following: jQuery, JavaScript, React JS, Angular JS, or FASTAPI.
• Two (2) years’ experience in Collecting and pre-processing data, performing statistical analysis, building ML/NLP models, engineering features, and delivering insights through predictive modeling, text analytics, and performance monitoring.

Responsibilities

• Design, build, and maintain backend systems and services by applying full-stack software development principles using Python, ensuring scalable and maintainable architecture across various applications.
• Develop robust APIs and microservices using frameworks like Flask, Fast API, and Ariadne, while integrating with data processing libraries such as Pandas and ORMs like SQL Alchemy to support business logic and data workflows.
• Architect and manage data lake infrastructure and data warehouse solutions, enabling efficient ingestion, transformation, and storage of large datasets for downstream analytics and reporting needs.
• Design, implement, and optimize relational and non-relational databases, including Oracle, PostgreSQL, Azure SQL, and MongoDB, ensuring high performance, security, and availability of data assets.
• Create and maintain high-volume ETL/ELT pipelines to process structured and semi-structured data, supporting analytics use cases and enabling near real-time insights from diverse data sources.
• Automate deployment workflows using DevOps practices, including containerizing applications with Docker, configuring Helm charts, and deploying to Azure Kubernetes Service (AKS) for scalable production environments.
• Manage source code and infrastructure automation using Git, GitHub Actions, and Azure DevOps, enabling continuous integration and delivery pipelines across multi-cloud and hybrid environments.
• Develop data-driven solutions by analyzing large datasets, building predictive models, and leveraging LLMs to extract insights, automate text analysis, and enhance business decision making through advanced generative AI techniques.

Benefits

• Consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.
• Consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager