Comcast · 4 hours ago
Data Modeler (Engineer 3)
West Chester, OH
Full-time
Onsite
Mid, Senior Level
5+ years expComcast is a Fortune 30 global media and technology company seeking an experienced Engineer III (Data Modeler) to help design and evolve data products for analytics and reporting. The role focuses on modern data modeling, semantic design, and data architecture, partnering with various teams to create scalable data models on cloud-native platforms.
Telecom & CommunicationsCloud ComputingVideoInternetTelecommunicationsTVWeb Hosting
No H1B
Responsibilities
Design and maintain conceptual, logical, and physical data models for domain-owned data products
Translate product requirements into consumer-friendly analytical models, entities, and metrics
Build domain-aligned, analytics-ready data structures optimized for modern access patterns
Define and maintain semantic layers and shared business definitions across data products
Apply modern modeling techniques (e.g., dimensional, denormalized, hybrid models) based on product use cases
Align data product models with modern data architecture patterns (lakehouse, multi-layered data platforms)
Partner with data platform and engineering teams to ensure data products are efficiently implemented in:
Snowflake (schemas, clustering, cost-aware design)
Apache Spark (Spark SQL, schema design, performance-aware transformations)
Contribute to standards for schema evolution, data contracts, and backward compatibility
Balance scalability, performance, and cost in cloud-native environments
Work closely with data product managers, analytics engineers, and business stakeholders to refine product requirements
Act as a modeling subject-matter expert within data product teams
Review and guide data model and transformation designs across domains
Support onboarding and adoption of data products by downstream consumers
Embed data quality, consistency, and usability into data product designs
Maintain clear documentation for data products, models, and metrics
Leverage modeling tools (e.g., Erwin and/or SAP PowerDesigner) to create and maintain enterprise and domain-level models
Support metadata, lineage, and discoverability initiatives aligned to data product governance
Qualification
Required
Legally authorized to work in the United States and not require sponsorship for employment now or in the future
5-7 years of relevant work experience
Bachelor's Degree
Design and maintain conceptual, logical, and physical data models for domain-owned data products
Translate product requirements into consumer-friendly analytical models, entities, and metrics
Build domain-aligned, analytics-ready data structures optimized for modern access patterns
Define and maintain semantic layers and shared business definitions across data products
Apply modern modeling techniques (e.g., dimensional, denormalized, hybrid models) based on product use cases
Align data product models with modern data architecture patterns (lakehouse, multi-layered data platforms)
Partner with data platform and engineering teams to ensure data products are efficiently implemented in Snowflake (schemas, clustering, cost-aware design)
Partner with data platform and engineering teams to ensure data products are efficiently implemented in Apache Spark (Spark SQL, schema design, performance-aware transformations)
Contribute to standards for schema evolution, data contracts, and backward compatibility
Balance scalability, performance, and cost in cloud-native environments
Work closely with data product managers, analytics engineers, and business stakeholders to refine product requirements
Act as a modeling subject-matter expert within data product teams
Review and guide data model and transformation designs across domains
Support onboarding and adoption of data products by downstream consumers
Embed data quality, consistency, and usability into data product designs
Maintain clear documentation for data products, models, and metrics
Leverage modeling tools (e.g., Erwin and/or SAP PowerDesigner) to create and maintain enterprise and domain-level models
Support metadata, lineage, and discoverability initiatives aligned to data product governance
Preferred
5+ years of experience in data modeling, analytics engineering, or data architecture roles
Strong proficiency in conceptual, logical, and physical data modeling techniques
Hands-on experience with Snowflake, including schema design, performance optimization, and cost governance
Experience developing data models and transformations in Apache Spark (Spark SQL, PySpark preferred)
Familiarity with modern data architectures (e.g., lakehouse, domain-oriented data products, multi-layered data platforms)
Experience working with modeling tools such as Erwin or SAP PowerDesigner
Knowledge of schema evolution practices, data contracts, and metadata/lineage standards
Proven ability to collaborate with cross-functional data and business teams
Strong understanding of semantic modeling and shared business metric design
Experience working in cloud-native environments (AWS, Azure, or GCP)
Ability to balance scalability, performance, quality, and usability in data product design
Excellent communication skills with the ability to explain complex data concepts to non-technical audiences
Benefits
Best-in-class Benefits
An array of options, expert guidance and always-on tools
Company
Comcast
Comcast is a media and technology company that provides broadband internet, mobile services, and entertainment platforms. It is a sub-organization of SkyShowtime.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$4.92BKey Investors
California Public Utilities CommissionMassachussetts Broadband InstituteMaine Connectivity Authority
2025-11-13Grant· $3.2M
2024-07-02Grant· $2.69M
2023-04-24Grant· $0.28M
Leadership Team
Neil Smit
President and Chief Executive Officer
Candy Lawson
SVP, Chief Compliance Officer and Senior Deputy General Counsel
Recent News
Sports Business Journal
2026-02-13
Company data provided by crunchbase