Overview

Lead design and delivery of end-to-end data analytics solutions from platform perspective to ensure technology is scalable to meet business demand. Conduct technical POCs on data analytics and AI/ML technologies. Work with data engineering and visualization team within the Data, Analytics & Ai (D&Ai) team to ensure platform architecture patterns are evolved & managed. It is crucial for enhancing data-driven decision-making, improving operational efficiency, and supporting regulatory compliance.

Responsibilities

• Define technical solutions and ensures alignment and provides technical leadership for the evolving architectural capabilities of the entire Data & Analytics platform
• Work closely with the enterprise architects and System / Data engineers to ensure that individual program and product strategies align with business and technical objectives
• Establish incremental implementation strategy and technical foundation for the architectural runway; abstraction and generalization to preserve architectural flexibility
• Ensure that common technology, design practices, and infrastructure are used when applicable; and facilitate the reuse of code, components, and proven patterns
• Develop physical architecture patterns to support large scale Data & Analytics solutions
• Work closely with Operations team to size, scale and tune existing and new architecture

• The expected compensation range for this position is between $125,900 - $249,900.
• 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 25% of annual salary paid out annually and an additional target payout of 10% of annual salary is paid out over 3 years following the end of the performance period.
• Long term incentive equity may be awarded based on eligibility and performance.
• 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.

• 12+ years of experience in Data Analytics and Big Data solutions, experienced Solutions Architect well versed in designing & modernizing large scale Data, Analytics & Ai solutions
• 5+ years of Data & Analytics solution architecture experience focused on new technology and tools
• 5+ years of MDM and data governance management experience (preferred)
• 10+ years of Azure technologies, extensive working knowledge of all aspects of Data Movement and Processing, including Middleware, ETL, API, OLAP and best practices for data tracking
• Good Communication skills
• Bachelor's degree in computer science, Computer Engineering, Management Information Systems, Data Science, Cybersecurity, or related field.