Responsibilities 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-we're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience. As a Senior Data Modeler, you will apply advanced data modeling techniques to design, structure, and optimize data systems that support strategic business insights. You’ll collaborate closely with stakeholders to understand data requirements, translate business needs into scalable data models, and ensure data integrity across systems. Your expertise will help resolve complex data architecture challenges and drive efficient, well-documented data solutions that power analytics and decision-making. Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company. Do you have a: HEART FOR PEOPLE... you're willing to facilitate solutions with multiple engineers, provide upward communication, and mentor others? HEAD FOR BUSINESS... you consistently demonstrate and uphold the standards of coding, infrastructure, and process? PASSION FOR RESULTS... you're capable of high-velocity contributions in multiple technical domains? We are looking for: - 5+ years of experience related to data engineering What is the work? Data Modeling: Design/Develop/Maintain data models (including conceptual, logical, and physical models) that support application and analytical systems Leverage data modeling software to create optimized data designs that facilitate consistency, reuse and ensure efficient storage and retrieval and limit data duplications Use data modeling to create a common language with visual references to describe data and its relationships across business domains. Define structures, relationships, definitions, data types, and constraints to reduce quality issues Create data models to make it easier to understand 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 Works with Product, Business, and Analyst stakeholders to understand business processes and its relationship to data Mentors / provides support to data engineers; coaches / mentors engineers in data modeling techniques, processes, new technologies Data Design & Development: Contributes to design / development / maintenance of largescale data pipelines; may assist in diagnosing / solving complex production support issues Provides operational and technical expertise to design algorithms patterns that support large/complex datasets for analytics, implement calculations, cleanse data, ensure standardization of data, and map / link data from more than one source Participates in full SDLC process, including planning, design, development, certification, implementation, and support on more complex projects Makes recommendations for overall data workflow, design, architecture, security, scalability, reliability, and performance Recommends changes to processes and tools based on industry standards, patterns, and practices Collaborates with external technical teams to ensure timely, high-quality solutions Engages with shared services teams and vendors as needed What is your background? 5+ years of related experience to data engineering and data modeling; retail experience preferred Intermediate to Advanced knowledge in data modeling techniques such as Entity Relationship, Database Normalization, Dimensional (Star, Snowflake), Data Vault Experience with data modeling software such as SqlDBM, Erwin, DbSchema, ER/Studio Experience with big data cloud technologies such as GCP, BigQuery, Azure, AWS, Snowflake, Databricks Experience with common data engineering tools (e.g., Git, Jira, Confluence) Proficient 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 to self and 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 Advanced verbal / written communication and data presentation skills Ability to deliver on ambiguous projects with incomplete information Ability to act as a thought leader and mentor to junior team members Ability / willingness to learn new technologies as they emerge Ability to calmly work under pressure