Position Summary...

What you'll do...

The Staff Data Architect role is a critical position focused on becoming a trusted partner and delivering value through data for our customers. You will use your skills to understand our customers' businesses and provide data solutions that help solve their challenges. As a Staff Data Architect you will ensure our customers' data needs and pain points are addressed by providing outstanding service, assistance and knowledge of the Data Strategy & Insight team's capabilities.

You will solve customer issues with data solutions that positively impact their business by building highly engaged relationships, crafting solutions that solve critical priorities, ensuring our offerings are understood and driving value, serving as a first line of defense for data-related topics and by collaborating with our other tech and engineering teams to resolve customer obstacles.

You'll sweep us off our feet if you have

• Requirements gathering with business stakeholders, domain: agile team work, people data, hierarchies of project portfolio work
• Ability to write requirements for ETL and BI developers
• Ability to write designs for data architecture of data warehouse or data lake solutions or end to end pipelines
• Expert in data architecture principles, distributed computing knowhow
• Intake prioritization, cost/benefit analysis, decision making of what to pursue across a wide base of users/stakeholders and across products, databases and services,
• Bachelor's degree in computer science or electrical engineering with >10 years of experience
• At least >6 years of experience in architecture for commercial scale data pipelines

Bonus points if you have

• Health domain experience: Customer data, transaction, databases,
• HIPAA compliance understanding is a plus.
• Certified Cloud Solutions architect with hands-on working experience is a plus.
• Knowledge of tools like Airflow, Terraform, Visualization tools and languages like python, java are preferred.

You'll make an impact by:

• Design data models that include Health related data that provides a full view of what the Walmart technology teams are working on and the business impact they are having.
• End to end data pipeline design, security review, architecture and deployment overview
• Undertake cloud deployment responsibilities for commercialisations
• Automate reporting views used by management and executives to decide where to invest the organization's time and resources, and stay up to date on key company initiatives and products
• Create self-service reporting including a data lake for Walmart's internal projects and resources
• Design for comprehensive data quality management too

About Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That's what we do at Walmart Global Tech. We're a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world's largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.

We're virtual

Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We'll collaborate in person at a regular cadence and with purpose.

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 or related field and 4 years' experience in data engineering, solution architecture, business
intelligence, business analytics or related field. Option 2: 6 years' experience in data engineering, solution architecture, business intelligence,
business analytics or related field. Option 3: Master's degree in Computer Science and 2 years' experience in data engineering, solution
architecture, business intelligence, business analytics or related field.

Preferred Qualifications...

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

Data architecture/software architecture/data modeling, Master's degree in Computer Science or related field and 4 years' experience in software engineering or related field, Relevant industry experience (for example, retail, supply chain, eCommerce, healthcare, etc.), Solution Architecture