- Architect and evolve large-scale, distributed data pipelines and platform capabilities that ingest, process, and serve data across all marketing channels.
- Set technical direction and engineering standards (data modeling, pipeline design patterns, observability).
- Partner cross-functionally with marketing technology stakeholders, product managers and platform teams to translate business requirements into robust, reusable data platform capabilities.
- Mentor and provide technical leadership to senior and mid-level data engineers; conduct design/code reviews and raise the technical bar across the team.
- Champion engineering excellence practices — CI/CD, automated testing, monitoring/alerting, incident response, and on-call readiness — for mission-critical marketing data pipelines and contribute to long term technical roadmap
What you'll bring:
- Strong experience designing and operating billion-scale distributed data systems using Spark, Kafka, streaming, orchestration, and large-scale batch technologies.
- Deep expertise in SQL, data modeling, partitioning, performance tuning, incremental processing, and compute and storage optimization.
- Hands-on experience with GCP or equivalent cloud platforms, including BigQuery, Dataproc, Dataflow, Pub/Sub, GCS, and Airflow.
- Strong Python skills plus Java or Scala proficiency.
- Knowledge of data quality, lineage, observability, CI/CD, testing, reliability, and incident management.
- Martech or Adtech experience is preferred.
- Proven Staff-level leadership through domain ownership, cross-team influence, design reviews, mentoring, and measurable platform improvements at scale across complex production environments globally.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor’s degree in Computer Science and 4 years' experience in software engineering or related field. Option 2: 6 years’ experience in software engineering or related field. Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field.3 years' experience in data engineering, database engineering, business intelligence, or business analytics.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 4 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...809 11th Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Bachelor's degree in Computer Science and 4 years of experience in software engineering or a related field
- 6 years of experience in software engineering or a related field
- Master's degree in Computer Science and 2 years of experience in software engineering or a related field
- 3 years of experience in data engineering, database engineering, business intelligence, or business analytics
- Experience with data engineering, database engineering, business intelligence, or business analytics
- Experience with ETL tools and large datasets in the cloud
- Master's degree in Computer Science or a related field and 4 years of experience in software engineering or a related field
- Martech or Adtech experience
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility practices
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.





