Senior Data Modeler-Data Solutions; San Antonio, Austin and Dallas

About the Role

Since H-E-B Digital Technology’s inception, we’ve been investing heavily in our customers’ digital experience, reinventing how they find inspiration from food, make food decisions, and ultimately get food into their homes. This is an exciting time to join H-E-B Digital where we’re using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience.

• Work closely with stakeholders to understand data requirements, translate business needs into scalable data models, and ensure data integrity across systems.
• Design, develop, and maintain conceptual, logical, and physical data models that support application and analytical systems.
• Leverage data modeling software to create optimized, consistent, and reusable data designs that facilitate efficient storage and retrieval while limiting duplications.
• Use data modeling to create a common language with visual references that describe data and its relationships across business domains.
• Define data structures, relationships, definitions, data types, and constraints to reduce quality issues.
• Create data models that clarify data relationships, identify duplication, and align on sources of truth.
• Publish data models and support data modeling questions and education.
• Collaborate with data engineers across one or more teams to deliver initiatives.
• Work with product, business, and analyst stakeholders to understand business processes and their relationship to data.
• Mentor and provide support to data engineers; coach them in data modeling techniques, processes, and new technologies.
• Contribute to the design, development, and maintenance of large-scale data pipelines; assist in diagnosing and solving complex production support issues.
• Provide operational and technical expertise to design algorithm patterns that support large or complex datasets for analytics, implement calculations, cleanse data, ensure standardization, and map/link data from multiple sources.
• Participate in the full SDLC process, including planning, design, development, certification, implementation, and support of complex projects.
• Make recommendations for overall data workflow, design, architecture, security, scalability, reliability, and performance.
• Recommend changes to processes and tools based on industry standards, patterns, and best practices.
• Collaborate with external technical teams to ensure timely, high-quality solutions.
• Engage with shared services teams and vendors as needed.

• 5+ years of related experience in data engineering and data modeling; retail experience preferred.
• Intermediate to advanced knowledge of data modeling techniques such as entity‑relationship, database normalization, dimensional modeling (star, snowflake), and data vault.
• Experience with data modeling software such as SqlDBM, Erwin, DbSchema, and ER/Studio.
• Experience with big‑data cloud technologies such as GCP, Big Query, Azure, AWS, Snowflake, and Databricks.
• Experience with common data engineering tools (Git, Jira, Confluence).
• Proficiency in SQL and Python.
• A related degree or comparable formal training, certification, or work experience.
• Experience working in large-scale infrastructure, large data sets, and mission-critical SLAs.
• High degree of personal accountability for self and the team for continued growth.
• Knowledge of business intelligence, analytics/reporting, and application integration.
• Knowledge of data architectures such as data warehouse, data lake, and data mesh, and when to apply them.
• Advanced verbal, written, and data presentation skills.
• Ability to deliver on ambiguous projects with incomplete information.
• Ability to act as a thought leader and mentor junior team members.
• Willingness to learn new technologies as they emerge.
• Ability to calmly work under pressure.

HEART FOR PEOPLE – facilitate solutions with multiple engineers, provide upward communication, and mentor others.
HEAD FOR BUSINESS – consistently demonstrate and uphold standards of coding, infrastructure, and process.
PASSION FOR RESULTS – capable of high‑velocity contributions across multiple technical domains.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.