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Architect - Data Engineering
Full-Time
salary Negotiable
category Computer/IT
created 09/19/2024
end dateCloses: 09/30/2026
location Views: 25
Job Info
Status: Sourcing
Duration:
Experience: 8 Years
Career Level: Experienced (Non-Manager)
No of Jobs: 0
Posted: 09/19/2024
Apply Before: 09/30/2026
Description

As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCo’s data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You’ll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into cloud environments directly impacting the design, architecture, and implementation of PepsiCo’s flagship data products around finance. You will work closely with process owners, product owners and business users. You’ll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems.

Responsibilities

Work with product owners, scrum masters and technical committee to define the 3 months road-map for each program increment (sprint wise)Manage and scale data pipelines responsible for ingestion and data transformation.Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.Prototype new approaches and build solutions at scale.Research in state-of-the-art methodologies.Create documentation for learnings and knowledge transfer.Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.Responsible for sustainability of already live pipelines in production environment.

 

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