Position Summary...

Oversees the implementation of multiple business initiatives by assessing customer and operational requirements, formulating and communicating business strategies and priorities, addressing performance barriers, allocating appropriate resources, defining performance metrics, monitoring progress, making adjustments as necessary, developing contingency measures, and demonstrating adaptability while fostering continuous learning.

Provides leadership and professional development for associates by engaging in recruitment and training, mentoring team members, delegating responsibilities, cultivating a collaborative work environment, establishing and reviewing performance objectives, providing constructive feedback and recognition, coaching for growth and improvement, and encouraging a sense of belonging within the organization.

Upholds and advances company policies, procedures, mission, values, and ethical standards by educating and guiding others in their application, ensuring compliance, and promoting the use of the Open Door Policy.

Ensures organizational objectives are achieved by regularly evaluating the effectiveness of current plans and programs, consulting with relevant stakeholders, seeking and incorporating suggestions for enhanced efficiency and cost-effectiveness, and actively participating in community outreach initiatives.

What you'll do...

What You’ll Do

• Design and maintain enterprise-grade data models that support analytical, operational, and machine learning use cases across multiple domains.
• Collaborate with cross-functional teams to translate business requirements into scalable, well-structured conceptual, logical, and physical data models.
• Establish and enforce data modeling standards and best practices, ensuring consistency, reusability, and alignment with enterprise data architecture.
• Drive data governance and metadata management efforts, ensuring models are well-documented, discoverable, and compliant with regulatory requirements.
• Mentor data engineers and analysts on data modeling principles, fostering a culture of data literacy and model-driven development.

 

What You’ll Bring

• 10+ years of experience in data modeling, data architecture, or related roles, with a strong foundation in relational, dimensional, and NoSQL modeling techniques.
• Expertise in industry-standard modeling tools (e.g., ER/Studio, ERwin, dbt, PowerDesigner) and proficiency in SQL and data warehousing platforms (e.g., Snowflake, BigQuery, Redshift).
• Deep understanding of data governance, master data management (MDM), and metadata frameworks, with experience aligning models to business glossaries and taxonomies.
• Proven ability to work across business and technical teams, translating complex requirements into elegant, scalable data structures.
• Strong communication and leadership skills, with a track record of influencing data strategy and driving alignment across enterprise stakeholders.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, hybrid work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Minimum Qualifications:Option 1: Bachelor's degree in Computer Science or related field and 4 years' experience in data modeling, data analytics, data warehouse, software engineering or related field. Option 2: 6 years' experience in data modeling, data analytics, data warehouse, software engineering or related field. Option 3: Master's degree in Computer Science or related field and 2 years' experience in data modeling, data analytics, data warehouse, software engineering or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India