Position Summary…
What you’ll do…
Walmart General Data Foundation is seeking a Senior Manager for Data Ventures Data Engineering Team to lead the architecture, design, and hands‑on development of scalable, cloud‑native, AI powered data platforms that power our data products. This is a builder’s role: you’ll blend deep technical leadership with people leadership writing production‑quality code, owning the architectural integrity of critical services, and guiding a team of engineers who genuinely love owning what they build. You’ll partner closely with cross‑functional stakeholders to translate complex business problems into reliable, governed, customer‑centric data products, while championing engineering , operational excellence, and continuous improvement across the team. About the team: The Global Data Foundation (GDF) is a key engineering team within Walmart’s Global Tech, Data & AI pillar, developing advanced data platforms and intelligent systems that support transformative data needs of organization.



Walmart Data Ventures operates with the agility of a nimble startup — incubated within Walmart but unencumbered by legacy process — building a best‑in‑class suite of data products that deliver actionable, customer‑centric insights. We work in a fast‑paced, results‑driven agile environment with varied responsibilities and passion for technology. What you’ll do:
- Lead the design, development, and deployment of scalable data engineering solutions to support business analytics and AI initiatives.
- Oversee data integration, transformation, and quality assurance processes across data sources and platforms.
- Implement and maintain data governance practices ensuring compliance with regulatory and ethical standards.
- Collaborate with cross‑functional teams to translate business requirements into effective data strategies and architectures.
- Mentor and guide engineering teams, promoting best practices in coding, testing, and data modeling.
- Evaluate emerging technologie

📌 Senior Manager, Data Engineering (Argentina)
🏢 Walmart
📍 Argentina