Senior Data Modeler-Data Solutions (San Antonio, Austin and Dallas)

Senior Data ModelerResponsibilities 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?What is the work?Data Modeling: Design/Develop/Maintain data models (including conceptual, logical, and physical models) that support application and analytical systemsLeverage data modeling software to create optimized data designs that facilitate consistency, reuse and ensure efficient storage and retrieval and limit data duplicationsUse 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 issuesCreate data models to make it easier to understand data relationships, identify duplication, and align on sources of truthPublish data models and support data modeling questions and educationCollaborate with data engineers across one or more teams to deliver initiativesWorks with Product, Business, and Analyst stakeholders to understand business processes and its relationship to dataMentors / provides support to data engineers; coaches / mentors engineers in data modeling techniques, processes, new technologiesData Design & Development: Contributes to design / development / maintenance of largescale data pipelines; may assist in diagnosing / solving complex production support issuesProvides 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 sourceParticipates in full SDLC process, including planning, design, development, certification, implementation, and support on more complex projectsMakes recommendations for overall data workflow, design, architecture, security, scalability, reliability, and performanceRecommends changes to processes and tools based on industry standards, patterns, and practicesCollaborates with external technical teams to ensure timely, high-quality solutionsEngages with shared services teams and vendors as neededWhat is your background?5+ years of related experience to data engineering and data modeling; retail experience preferredIntermediate to Advanced knowledge in data modeling techniques such as Entity Relationship, Database Normalization, Dimensional (Star, Snowflake), Data VaultExperience with data modeling software such as SqlDBM, Erwin, DbSchema, ER/StudioExperience with big data cloud technologies such as GCP, BigQuery, Azure, AWS, Snowflake, DatabricksExperience with common data engineering tools (e.g., Git, Jira, Confluence)Proficient in SQL and PythonA related degree or comparable formal training, certification, or work experienceExperience working in large scale infrastructure, large data sets, and mission critical SLAsHigh degree of personal accountability to self and team for continued growthKnowledge of business intelligence, analytics / reporting, and application integrationKnowledge of data architectures such as data warehouse, data lake, and data mesh and when to applyAdvanced verbal / written communication and data presentation skillsAbility to deliver on ambiguous projects with incomplete informationAbility to act as a thought leader and mentor to junior team membersAbility / willingness to learn new technologies as they emergeAbility to calmly work under pressure