United States onlyPosition Summary...
What you'll do...
Finance Data Factory is a cornerstone of Walmart’s financial data infrastructure, responsible for building and maintaining True North datasets that are trusted, authoritative data assets that serve as the single source of truth across the enterprise. These foundational datasets are meticulously engineered to ensure consistency, accuracy, and reliability, and are consumed by a wide array of downstream applications that support critical business operations, financial systems, and executive decision-making.Our team plays a strategic role in enabling data-driven transformation across Finance by:
- Standardizing financial data across segments and systems to eliminate ambiguity and drive alignment.
- Powering automation and analytics for applications ranging from transactional processing to predictive modeling.
- Supporting executive reporting with high-quality, timely insights that inform strategic planning and performance tracking.
- Ensuring scalability and governance through robust data pipelines, metadata management, and compliance frameworks.
About Team:
Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
What you'll do:
- Own Walmart’s authoritative financial data assets that serve as the single source of truth
- Standardize financial data across SAP,, Data Lake, and downstream system
- Power analytics and ML with high-quality, ready-to-use financial data
- Deliver timely, accurate data for executive reporting and strategic planning
- Build scalable, governed data pipelines that support growth and regulatory needs
- Reduce manual reconciliation and operational risk through engineered data quality
- Partner with Finance and Engineering to translate business strategy into data products
What you'll bring:
- Executive-level communication — can translate complex data and engineering concepts into clear business outcomes for Finance, Product, and senior leadership
- Strong influence without authority - able to align Finance, Engineering, and Architecture teams around a common data strategy and drive decisions across org boundaries
- Deep technical acumen - understands modern data platforms, pipelines, governance, and financial systems well enough to challenge designs and ensure scalable, reliable solutions
- Customer-first mindset - frames technical work in terms of financial impact, risk reduction, and decision enablement
- Structured, outcome-driven thinking - breaks ambiguous problems into clear priorities, tradeoffs, and executable plans
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 $130,000.00 - $260,000.00 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, computer engineering, computer information systems, software engineering, or related area and 6 years’ experience in software engineering or related area.Option 2: 8 years’ experience in software engineering or related area.
3 years' supervisory experience.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
