Data Modeler (Engineer 3)

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

We are looking for an experienced Engineer III (Data Modeler) to help design and evolve data products that serve analytics, reporting, and operational use cases across the enterprise. This is a mid-to-senior level Individual Contributor role focused on modern data modeling, semantic design, and data architecture in a data product–oriented organization. In this role, you will partner with product managers, data engineers, and analytics teams to define domain-aligned data products, translating business needs into scalable, well-governed data models built on cloud-native platforms such as Snowflake and Spark. The emphasis is on consumer-centric, reusable data assets, not traditional monolithic data warehouse development.

Job Description

This position is ineligible for visa sponsorship.  To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future

Core Responsibilities

Data Product Modeling & Design

• 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

Data Architecture & Platform Enablement

• 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

Product Collaboration & Ownership

• 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

Quality, Governance & Documentation

• 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 Qualifications:

• 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.

Employees at all levels are expected to:

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Support a culture of inclusion in how you work and lead.
• Do what's right for each other, our customers, investors and our communities.

Disclaimer:

• This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Skills:

Spark SQL; Snowflake Data Warehouse; SAP PowerDesigner; ERwin; Snowflake Schema; Structured Query Language (SQL); Design

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That?s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality ? to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years