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Sr Data Modeler

O'Reilly Auto Parts

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

108086.00 - 180144.00 USD / Year
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Job Description:

The Sr Data Modeler is a key technical contributor responsible for designing, developing, and optimizing conceptual, logical, and physical data models across structured and semi-structured platforms including relational, NoSQL, and real-time systems. This role ensures data models are scalable, governed, and aligned with performance and business requirements. As a senior practitioner, the role partners closely with engineers, stakeholders, and product teams to translate domain-specific data needs into robust models for reporting, analytics, and AI use cases. The Senior Data Modeler also promotes modeling best practices, contributes to data governance efforts, and supports the implementation of hybrid table and streaming-aware data architectures.

Job Responsibility:

  • Design domain-level conceptual, logical, and physical data models across OLTP and OLAP systems
  • Apply best practices in relational modeling using tools such as Erwin, dbt, and UML
  • Implement multi-model data environments that span relational, NoSQL, graph, and event-based systems
  • Develop dimensional models, normalized schemas, and de-normalized views
  • Collaborate with platform and engineering teams to ensure models support schema evolution and efficient query performance
  • Translate business requirements and analytics use cases into well-structured data models
  • Recommend modeling techniques and platform selection
  • Work closely with engineers and product owners to ensure model designs support KPI alignment
  • Lead and implement modeling requirements for feature stores and analytic datasets
  • Maintain detailed documentation including entity definitions, data dictionaries, model lineage
  • Contribute to the enforcement of modeling standards
  • Support governance efforts through consistent metadata management
  • Execute schema governance processes
  • Develop performant physical data models for Snowflake, BigQuery, PostgreSQL
  • Collaborate with data engineers to implement optimal indexing, clustering, partitioning
  • Contribute in troubleshooting performance issues
  • Support continuous improvement of data models
  • Work with engineering teams to embed models into ingestion pipelines
  • Validate that dbt models, ETL/ELT logic, and CI/CD deployment scripts accurately reflect designs
  • Support integration of models with real-time systems
  • Participate in quality assurance cycles
  • Contribute to the development of reusable semantic models
  • Help unify metric definitions and business logic across systems
  • Contribute to graph and document modeling efforts
  • Embed structural validation, referential integrity checks, and schema verification
  • Collaborate with engineers and platform teams to ensure data health monitoring is modeled
  • Support automated testing and CI/CD integration of models
  • Participate in resolving modeling-related issues
  • Serve as a mentor and resource to junior data modelers and engineers
  • Contribute to modeling playbooks, reusable templates, and internal knowledge repositories
  • Participate in technical reviews and modeling community of practice discussions
  • Stay up to date with modern modeling techniques

Requirements:

  • Advanced experience designing logical and physical data models for OLTP, OLAP, and streaming systems
  • Strong experience in relational data modeling, including dimensional modeling (star/snowflake), data vault, and normalized structures using modeling tools such as Erwin or UML
  • Advanced competence in developing and managing data models across data platforms, such as Snowflake, BigQuery, PostgreSQL, and cloud SQL services
  • Experience with NoSQL and semi-structured data models (e.g., MongoDB, Cassandra)
  • Basic to intermediate experience with graph databases and modeling concepts (e.g., Neo4j)
  • Strong experience modeling for analytics and machine learning, including schema design for curated datasets, feature stores, and metric layers
  • Proficient in translating data contracts and business definitions into reusable semantic models
  • Experience incorporating streaming-aware modeling considerations
  • Advanced ability to work with product owners and business stakeholders
  • Strong understanding of enterprise business processes
  • Experience working in agile data product environments
  • Ability to anticipate business implications of schema changes
  • Experience leading data modeling efforts on cross-functional teams
  • Ability to mentor junior data modelers and analysts
  • Strong contributor to modeling playbooks
  • Experience aligning data models to enterprise taxonomies
  • Strong understanding of data modeling’s role in data governance
  • Advanced experience integrating semantic models and metrics stores
  • Ability to influence modeling direction
  • Education: Bachelor's Degree or Equivalent Level in Computer Science or related field
  • Experience: Experienced practitioner able to deal with the majority of situations and to advise others (3 to 6 years)
  • Managerial Experience: Basic experience coordinating the work of others (4 to 6 months)

Nice to have:

  • Experience modeling for hybrid workloads, supporting both transactional and analytical use cases
  • Working knowledge of streaming and event-based modeling patterns, including Kafka schema registry integration
  • Familiarity with open table formats such as Apache Iceberg, Delta Lake, or Hudi
  • Exposure to lineage and metadata integration tools such as Alation, Collibra
  • Exposure in enabling LLM-ready data assets
  • Demonstrated ability to support platform migrations or modeling refactoring efforts
What we offer:
  • Competitive Wages & Paid Time Off
  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One
  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
  • Team Member Health/Wellbeing Programs
  • Tuition Educational Assistance Programs
  • Opportunities for Career Growth

Additional Information:

Job Posted:
March 10, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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