Mexico
Pearl
Walmart Inc.
Manager, Data Engineering
Mexico
Mexico City, Mexico City, Mexico
PythonJavaSQLAWSGCP
Automatic translation. Check the original.
Company Description
We are a people-led, technology-enabled, omnichannel company dedicated to helping people save money and live better.
In 2009, Walmart de México and Walmart Central America began a new growth phase by becoming a single team. Since 2010, we have operated as Walmart de México y Centroamérica, one of the most important retail organizations in the region. Our omnichannel strategy is customer-centric and focused on continuously improving their shopping experience.
We have a presence in six countries: Mexico, Guatemala, El Salvador, Honduras, Nicaragua, and Costa Rica.
We operate 4,079 stores throughout the region, of which 3,154 are in Mexico and 925 in Central America. Currently, more than 6 million customers visit our stores and clubs in Mexico and Central America daily.
We continue to offer our customers the products they need at everyday low prices through a diverse portfolio of business formats, each with a unique value proposition. At the same time, we continue to accelerate our digital transformation strategy to provide a better experience for our customers and partners across all channels and at every stage of their shopping journey.
Job Description
Summary
At Walmart de México y Centroamérica, we are driving the future of retail through cutting-edge data and technology. We are looking for a Data Engineering Manager with a strong technical foundation in large-scale distributed systems, data architecture, and software development to join our Global Tech / Data & AI team.
You will lead and mentor a high-performing data engineering team, but also maintain an active role in technical design, architecture review, and writing production-quality code for our petabyte-scale platforms. Your mission will be to enable advanced analytical capabilities, Artificial Intelligence (GenAI/ML) integrations, and real-time business solutions that directly impact millions of customers in our omnichannel ecosystem.
What will you do?
- Lead and mentor: Lead, inspire, and guide data engineers (Data, Analytics, and Software Engineers) through proactive technical leadership, promoting career plans and engineering excellence.
- Hands-On Development: Design, develop, and optimize complex end-to-end (E2E) distributed data pipelines, maintaining an active role in the design and writing of robust code.
- Design modern architectures: Define the technical roadmap for the corporate data platform and structure modern architectures (Lakehouse, Data Mesh, Lambda/Kappa) to support massive batch and streaming processing.
- Govern and monitor: Implement automated frameworks for quality, observability (data observability), lineage, and cataloging, ensuring high availability and compliance with security and privacy regulations.
- Optimize resources (FinOps): Monitor and optimize cloud storage and processing infrastructure, ensuring cost-efficiency of operations.
- Collaborate strategically: Act as a technical bridge with Product Management, Data Science teams, and global leaders to translate business challenges into scalable data products.
Requirements
What are we looking for?
- Professional trajectory: Minimum 8 years of experience in software or data engineering, including at least 3 years directly and technically leading engineering teams.
- Highly specialized data engineering: Solid foundation in distributed computing and proven experience developing distributed systems with Apache Spark, Hadoop, Hive, and complex SQL.
- Strong programming proficiency: Impeccable experience writing production code in Python, Java, or Scala.
- Data architecture and messaging: Design of data pipelines and real-time event-driven architectures with Kafka or similar platforms.
- Cloud ecosystem and DevOps: Experience designing cloud-native data platforms using GCP, Azure, or AWS, as well as rigorous implementation of CI/CD for data.
- Language: Advanced professional English level (C1/C2) to interact, present, and collaborate daily fluently with Walmart Inc. teams in the US and global regions.
We also value
- Previous experience implementing data observability (e.g., Monte Carlo, Great Expectations) and optimization under FinOps principles.
- Design and modeling experience with modern storage using dbt, Databricks, or Snowflake.
- Current certifications as a Cloud Data Architect or Data Engineer (GCP, Azure, or Databricks).
- Experience in Retail, E-commerce, global Logistics, or large-scale Big Tech industries.
Additional Information
At Walmart de México y Centroamérica, we are committed to a culture of belonging, which is why we seek to incorporate the best talent based on competencies, skills, and potential; we do not discriminate for any reason, including gender, age, ethnic origin, physical appearance, marital status, health conditions due to HIV or any illness, socioeconomic status, disability, sexual orientation, gender identity or expression. Therefore, during the attraction and selection process, we will not request personal information, photographs, or clinical tests of any kind. The candidate's personal data is not relevant during the interview process or for the final selection. At Walmart de México y Centroamérica, we are committed to our associates so that they find an environment of respect, free from discrimination and sexual harassment day by day at work.
At Walmart, we are working to improve accessibility. If you need any reasonable accommodation, please share it with the Recruitment team.
At Walmart de México y Centroamérica, we are committed to a culture of belonging, which is why we seek to incorporate the best talent based on competencies, skills, and potential; we do not discriminate for any reason, including gender, age, ethnic origin, physical appearance, marital status, health conditions due to HIV or any illness, socioeconomic status, disability, sexual orientation, gender identity or expression. Therefore, during the attraction and selection process, we will not request personal information, photographs, or clinical tests of any kind. The candidate's personal data is not relevant during the interview process or for the final selection. At Walmart de México y Centroamérica, we are committed to our associates so that they find an environment of respect, free from discrimination and sexual harassment day by day at work.”
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