Job Description

Walton Enterprises is seeking a skilled, highly motivated, and entrepreneurial individual to join the team as a Director of Data & Architecture.

Our Commitment to Diversity, Equity, Inclusion and Belonging

We are committed to embedding diversity, equity, and inclusion throughout the organization to foster an environment where all associates THRIVE and belong. We do this by creating:

• a culture committed to continuous learning that recognizes and values differences
• an environment of respect and connection to learn from the richness of identities, experiences, and perspectives
• fair access for all to opportunities for growth and advancement

About the Position

You’ll join a top-notch team and help define Walton Enterprises’ Data Strategy and lead the organization to establish the foundations for data and analytics programs that improve data availability, quality, and access. An important part of this strategy will be to build a data-driven vision to provide business insights and support strategic outcomes.

What you will do

Responsibilities

• Develop company-wide data strategy and best practices for data creation, collection, storage, processing, access, and value creation
• Lead the technical direction for architecting, designing, and implementing the data architecture that enables reporting, analytics, data science, and machine learning
• Have a passion and track record for playing full-stack Data leader, thinking carefully about data quality, use cases, and ROI of data infrastructure investments
• Architect, design, develop, and operate highly scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms
• Lead team of data engineers and analysts, and provide mentoring to ensure client and industry best practices are followed across ETL processes
• Participate in design and architectural review sessions with data and software engineering teams to ensure instrumentation and measurement of what matters most to our customers
• Collaborate with software engineering and product leadership to translate business requirements into data products, managed with product lifecycle
• Work with ETL solutions using Python, BigQuery, Data Bricks, and other tooling to enhance and integrate data into GCP/Big Data platforms
• Work on data platform architecture/re-architecture projects to promote operational excellence in Data Lake/Data Warehouse via automation
• Collaborate with Engineers and Data Analysts to construct complex data sources for algorithms and machine learning models
• Define and drive adoption of BI best practices in reporting, analysis, data integrity, test design, analysis, validation, and documentation
• Define data access, governance, and stewardship policies and partner with Data Stewards and Engineers to model foundational schemas and establish data contracts to improve production-level data quality

Who we are looking for

Qualifications required for your success

• 8 years of data engineering experience building end-to-end ETL/ELT pipelines and working with data warehouses, data lakes, and their underlying cloud infrastructure
• 5 years of leadership experience in defining data architectures; making technical recommendations and decisions (buy and build); and providing guidance, direction, and mentoring to Data analysts and Engineers
• 3 years of experience using Big Data cloud technologies (GCP and Azure), tools, frameworks, trends, and knowledge of reporting and analytics use cases
• Experience with data modeling, data governance, metadata, data lineage, data quality and scheduling, batch, and streaming data architecture
• Experience with data governance, schema design, and schema evolution
• Advanced knowledge of best practices in software engineering, data management, data storage, data compute, and distributed systems, including agile methodologies, coding standards, code reviews, version control systems (GitLab), source management, build processes, testing, and operations
• Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage
• Proficient in Python, SQL, and code/query optimization
• Ability to work in a fast-paced, rapidly changing environment
• Strong technical and analytical aptitude
• Excellent oral and written communication skills
• Bachelor's degree in Computer Science/related field or professional experience in a related field

Additional Helpful Experience Includes

• GCP / Azure Cloud Services certifications
• Experience writing and managing intelligent automation workflows
• Experience in a variety of techniques for producing and consuming data across multiple cloud providers

Personal attributes that support your success

• Ability to act as a trusted advisor to principals and colleagues while demonstrating expertise and integrity
• You are helpful, a team player, and show respect while collaborating with others
• You are results oriented and exercise sound judgment in your work
• A lifelong learner, who is inquisitive and solves problems with bold thinking and innovation
• A visionary who plans for the future with imagination and wisdom
• You are dedicated to achieving excellence and work with others to tackle the tasks at hand

All offers of employment are contingent on your successful completion (where permitted by state law) of a confidentiality agreement and background check. In addition, you will need to provide proper identification verifying your eligibility to work in the United States on your first day of work.

About the Information Technology Department

The Information Technology Department provides a suite of services including hardware and software support, custom application development, cybersecurity, networking, and tools for software integration. These services are provided to Walton Enterprises, the Walton Family Foundation and to Walton Family Entities.

About Walton Enterprises

Walton Enterprises supports the personal, philanthropic, and business activity for the Walton family. We are a family-led organization, supporting multiple generations of Sam & Helen Walton’s family.

Walton Enterprises is an equal opportunity employer and is committed to building and maintaining a culturally diverse workplace that is free of discrimination and harassment of any kind. We encourage women, minorities, individuals with disabilities and veterans to apply. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate.

Basic Qualifications

• 8 years of data engineering experience building end-to-end ETL/ELT pipelines and working with data warehouses, data lakes, and their underlying cloud infrastructure
• 5 years of leadership experience in defining data architectures; making technical recommendations and decisions (buy and build); and providing guidance, direction, and mentoring to Data analysts and Engineers
• 3 years of experience using Big Data cloud technologies (GCP and Azure), tools, frameworks, trends, and knowledge of reporting and analytics use cases
• Experience with data modeling, data governance, metadata, data lineage, data quality and scheduling, batch, and streaming data architecture
• Experience with data governance, schema design, and schema evolution
• Advanced knowledge of best practices in software engineering, data management, data storage, data compute, and distributed systems, including agile methodologies, coding standards, code reviews, version control systems (GitLab), source management, build processes, testing, and operations
• Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage
• Proficient in Python, SQL, and code/query optimization
• Ability to work in a fast-paced, rapidly changing environment
• Strong technical and analytical aptitude
• Excellent oral and written communication skills
• Bachelor's degree in Computer Science/related field or professional experience in a related field