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Principal Data Engineer
WalmartPrincipal Data Engineer architecting Walmart Marketplace’s operational intelligence platforms. Building scalable pipelines, analytics, engineering metrics, executive scorecards, and AI-ready datasets.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining technical strategy and architecture for data engineering initiatives, with a strong focus on building scalable cloud data platforms and operational analytics. Proven ability to mentor teams and drive data quality and governance while enabling AI-driven analytics.
Highest-signal resume keywords
Data EngineeringData ArchitectureETL/ELTCloud Data TechnologiesSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData PipelinesDistributed Data FrameworksBusiness IntelligenceAnalytics Platforms
Soft Skills
Strong Communication SkillsMentoring
Tools & Technologies
PythonSparkKafka
Industry Keywords
Operational IntelligenceData GovernanceAI-Driven AnalyticsEngineering Metrics
Tech Stack
Tools & technologiesCloudETLKafkaPythonSparkSQL
About the role
Key responsibilities & impact- Define the architecture and technical strategy for Marketplace's Operational Intelligence platform
- Design and build scalable data pipelines, data models, and analytics platforms
- Power engineering insights and executive scorecards
- Partner with engineering and platform teams to standardize operational data
- Establish a source of truth for Operational and Engineering Excellence metrics
- Drive data quality, governance, and platform scalability
- Enable AI-driven analytics and automation
- Mentor engineers and provide technical leadership across data engineering initiatives
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
- Experience designing and building large-scale cloud data platforms and distributed data pipelines
- Strong expertise in data modeling, data architecture, ETL/ELT, streaming data, and modern analytics platforms
- Experience with cloud-native data technologies
- Experience with SQL, Python, Spark, Kafka, or similar distributed data frameworks
- Proven ability to define technical strategy and influence engineering organizations through data architecture and engineering leadership
- Experience building operational analytics, engineering metrics, executive dashboards, or AI-ready data platforms
- Strong communication skills and ability to translate complex data challenges into scalable engineering solutions
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- Paid time off (including sick leave)
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
- Live Better U Walmart-paid education benefit
- Tuition, books, and fees completely paid for eligible education programs
- English Language Learning and short-form certificate programs