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

H-E-B

Austin (TX)

On-site

USD 120,000 - 155,000

Full time

9 hours ago
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Job summary

H-E-B Digital Technology seeks a Senior Data Modeler to design, structure, and optimize data systems that power strategic insights. You will collaborate with stakeholders to translate business needs into scalable models, ensuring data integrity across systems and guiding data architecture.

You will become an Owner in the company, emphasizing commitment and customer-focused excellence. The role emphasizes data modeling, development of large pipelines, and mentorship within a fast-paced retail

Qualifications

  • 5+ years of experience in data engineering and data modeling; retail experience preferred.
  • Proficient in SQL and Python.
  • Knowledge of data architectures such as data warehouse, data lake, and data mesh.
  • Experience with data modeling software such as SqlDBM, Erwin, DbSchema, ER/Studio.
  • Experience with cloud platforms: GCP, BigQuery, Azure, AWS, Snowflake, Databricks.
  • Experience with Git, Jira, Confluence.
  • Strong communication and mentoring skills.

Responsibilities

  • Design/Develop/Maintain data models (conceptual, logical, physical) for applications and analytics.
  • Collaborate with data engineers and stakeholders to deliver initiatives.
  • Contribute to large-scale data pipelines and SDLC processes.
  • Recommend improvements to data workflows, architecture, security, and performance.
  • Mentor junior engineers in data modeling techniques.

Skills

Data modeling
Data engineering
SQL
Python
Mentoring
Communication skills

Education

Related degree or training

Tools

SqlDBM
Erwin
DbSchema
ER/Studio
Git
Jira
Confluence
BigQuery
Azure
AWS
Snowflake
Databricks

Job description

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.

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

The work environment characteristics described here are representative of those a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Last revised: 11/1/2024

JDENGINEERING

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