Responsibilities Our team at PepsiCo eCommerce works with the most cutting-edge technology and builds our own tech-stack from scratch. This is where youll see your work come to life, as a member of a small, agile, highly-skilled team that ushers global projects through from conceptualization to implementation. Weve been laser focused on winning in the marketplace, developing and executing direct-to-consumer experiences like PantryShop.com and Snacks.com in less than 30 days. At PepsiCo, we leverage a combination of technology, insights, resources and inventory to quickly meet consumers' evolving needs, with $3 billion in retail sales and growing. With a team of more than 250 associates and offices in Manhattan, Chicago, Plano, and Silicon Valley, were unleashing the full potential of automation, data science, and machine learning to challenge the way snacks and beverages are sold every day. We're looking for a hands-on engineering manager to join our growing ecommerce team. Youll have a once-in-a-generation opportunity to influence the biggest players in online grocery and build the data foundation driving one of the world leaders in consumer-packaged goods. In this role you will have several distinct responsibilities and priorities: Scaling the Data Platform to 700+ pipelines across AWS and Azure Lead and promote cross-team Data Platform initiatives, like Data Mesh and support international expansion Build tools and libraries that ease new pipeline development and reduce delivery time Mentor and help data engineers, data scientists, BI engineers, analysts, etc to bring most value from the data platforms Increase the robustness and fault tolerance of new data initiatives Implement best practices and design patterns for different data solutions. Build mechanisms to implement metrics that measure data quality and reliability Define tools and techniques to improve overall data observability and discoverability Guide the team towards best engineering practices in data processing, data modeling, data observability, code review, pipeline development, etc. Note:- COVID-19 vaccination is a condition of employment for this role. Please note that all such company vaccine requirements provide the opportunity to request an approved accommodation or exemption under applicable law. Qualifications Bachelors degree in computer science, a related technical field, or equivalent experience 8+ years of experience designing and implementing data intensive systems and applications 4+ years of experience creating scalable dimensional data models 4+ years of experience creating and maintaining data pipelines using Airflow, dbt, etc 2+ years of experience using Snowflake Expert level knowledge of SQL Expert level knowledge of Python Experience with designing and implementing processes to measure and improve data quality Experience designing, building and maintaining data processing systems Working knowledge of how large-scale data is typically used in Machine Learning and Business Intelligence initiatives","location_name":"NY-New York - 49-Office","street_address":"12 E 49th StreetTower 29","city":"New York","state":"New York