Senior Manager, Data Engineering

Walmart

. Lead the architecture, design, development, and deployment of scalable, cloud-native, AI-powered data platforms and products .

Posted 9/29/2026full-timeBentonville • United StatesSenior💰 $110,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading the architecture and development of scalable, cloud-native data platforms, with a strong focus on data integration, quality assurance, and compliance practices. Proven ability to mentor engineering teams and drive continuous improvement in data pipelines and system performance.

Highest-signal resume keywords

Data EngineeringCloud-Native ArchitectureETL ToolsData GovernanceAgile Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringDistributed SystemsData Pipeline ArchitectureData TransformationProduction-Quality Code

Soft Skills

MentoringCollaborationIncident ResolutionContinuous Improvement

Tools & Technologies

CI/CDDevOpsData Quality FrameworksBusiness Intelligence ToolsLarge Data Sets

Industry Keywords

Data IntegrationData ProductsAccessibility Best PracticesWCAG 2.2 AA StandardsAssistive Technologies

Tech Stack

Tools & technologies

CloudDistributed SystemsETL

About the role

Key responsibilities & impact

Lead the architecture, design, development, and deployment of scalable, cloud-native, AI-powered data platforms and products
Write production-quality code and implement complex distributed systems
Architect end-to-end data pipelines integrating data sources into reliable data products for merchants and suppliers
Oversee data integration, transformation, and quality assurance across data sources and platforms
Establish data governance, automated data quality frameworks, and compliance practices
Champion DevOps, CI/CD, reliability, and observability
Drive code reviews, incident resolution, and system performance optimization
Collaborate with cross-functional stakeholders to translate business requirements into data strategies and architectures
Mentor and guide engineering teams, promoting coding, testing, and data-modeling best practices
Evaluate emerging technologies to improve data infrastructure and automation
Drive continuous improvement in data pipelines for reliability and performance at scale
Lead and manage multiple projects in a fast-paced, agile environment

Requirements

What you’ll need

Bachelor’s degree in Computer Science and 5 years' experience in software engineering or related field; or 7 years’ experience in software engineering or related field; or 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
Experience with data engineering, database engineering, business intelligence, or business analytics
Experience with ETL tools and working with large data sets in the cloud
Preferred knowledge of accessibility best practices, WCAG 2.2 AA standards, and assistive technologies

Benefits

Comp & perks

Incentive awards for performance
401(k) match
Stock purchase plan
Paid maternity and parental leave
PTO and/or PPTO, including sick leave, vacation, and holidays
Multiple health plans, including medical, vision, and dental coverage
Company-paid life insurance
Family care leave
Bereavement leave
Jury duty and voting leave
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Walmart-paid education benefit through Live Better U, including tuition, books, and fees for eligible programs
Competitive pay
Performance-based bonus awards
Stock
Paid education programs ranging from high school completion to bachelor's degrees, English Language Learning, and short-form certificates