The Senior Manager, Data Engineering leads the design and implementation of scalable data solutions that support business objectives. This role requires expertise in data integration, transformation, and governance within cloud and big data environments. The position involves collaborating with cross-functional teams to translate complex business challenges into effective data strategies and architectures. The successful candidate will oversee data quality, modeling, and automation efforts while ensuring compliance with regulatory standards. This leadership role fosters innovation and continuous improvement to optimize data assets and drive informed decision-making across the organization.
About the team:
The Supply Chain Centralized Services - Data Enablement team develops advanced data solutions supporting Flow, Quality, and Maintenance Reliability operations and transformation. The team leverages expertise in data engineering, big data analytics, SQL programming, data transformation, and integration to build scalable, efficient data pipelines and models. Collaborating across functions, the team ensures data governance, quality, and strategic alignment with business goals. Members apply innovative techniques to automate data processes, enabling actionable insights that drive operational excellence and continuous improvement within the supply chain.
What you'll do:
- Lead the design, development, and deployment of scalable data engineering solutions across multiple platforms.
- Translate complex business problems into data-driven strategies and technical implementations.
- Oversee data integration, transformation, and quality assurance processes to ensure reliable data pipelines.
- Implement and maintain data governance practices aligned with regulatory and ethical standards.
- Collaborate with cross-functional teams to align data architecture with business objectives.
- Mentor and guide team members on best practices in data modeling, coding, and testing.
- Evaluate emerging technologies to enhance big data analytics capabilities and automation.
What you'll bring:
- Extensive experience in data engineering, including data transformation, integration, and big data analytics.
- Proficiency in SQL and other programming languages relevant to data pipeline development and automation.
- Strong knowledge of data governance, data quality frameworks, and regulatory requirements related to data privacy and security.
- Expertise in data modeling, warehousing, and cloud-based big data platforms such as Snowflake, Azure, or Google BigQuery.
- Ability to design and implement scalable data architectures and pipelines using modern tools and orchestration frameworks.
- Proven capability to translate complex business requirements into effective data solutions and strategies.
- Experience leading and mentoring, fostering continuous improvement and innovation in data engineering practices.
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 $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
ㅤ
ㅤ
ㅤ
ㅤ
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 5 years' experience in software engineering or related field. Option 2: 7 years’ experience in software engineering or related field. Option 3: Master's degree in Computer Science and 3 years' experience in software engineering or related field.4 years' experience in data engineering, database engineering, business intelligence, or business analytics.
1 year’s supervisory experience.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 5 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...805 Respect, Bentonville, AR 72716, 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 5 years of experience in software engineering or a related field; or 7 years of experience in software engineering or a related field; or a master's degree in Computer Science and 3 years of experience in software engineering or a related field
- 4 years of experience in data engineering, database engineering, business intelligence, or business analytics
- 1 year of supervisory experience
- Experience in data engineering, database engineering, business intelligence, or business analytics
- Experience with ETL tools and large data sets in the cloud
- Master's degree in Computer Science or a related field and 5 years of experience in software engineering or a related field
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best 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.
-
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.
-
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.
-
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.







