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 SummaryComcast is seeking a Senior Director of Data Platform Engineering to lead and expand our Data Platforms Engineering team. This team is the foundation of our Data, AI and Machine Learning (ML) infrastructure, providing the critical platforms and tools that empower our Data Engineers, Data Scientists and ML Engineers to efficiently build, test, and deploy data workloads, pipelines and models at scale. The ideal candidate should have strong expertise in data storage, compute, data fabric, unified data catalogs, data products, workflow orchestration, feature stores for AI, ML ops, data observability, and supporting data for AI models with overall ML / AI driven engineering development approach. As the Senior Director of Platform, you will set the strategic vision, guide technical execution, data and platform architecture, SDLC patterns and contribute as a hands-on engineer to ensure scalable and practical solutions. Your leadership in this role will help drive data innovations that enhance the customer experience across Comcast's products and services
Job DescriptionCore Responsibilities- Drive modernization of legacy data systems by defining strategies to transition from traditional architectures to modern, cloud-native, and AI-driven platforms while maintaining business continuity.
- Accelerate real-time data delivery to meet urgent business needs by implementing streaming and low-latency data solutions that enable faster decision-making.
- Champion agility and speed in platform development by fostering a culture of rapid iteration, automation, and continuous improvement across the SDLC.
- Adopt a platform-as-a-product mindset, ensuring scalability, usability, and cost efficiency while balancing innovation with financial responsibility.
- Lead engineering initiatives that integrate multi-cloud and AI infrastructure, optimizing for performance, cost, and security.
- Collaborate cross-functionally to align platform capabilities with evolving business priorities, competitive pressures, and cultural transformation goals.
- Promote cutting-edge technology adoption and open new horizons for the organization by leveraging modern tools and frameworks (e.g., Snowflake, Kafka, Kubernetes, AI/ML stacks).
- Instill engineering excellence through robust design standards, code quality, and reliability practices, ensuring the platform can scale with business demands.
- Drive cultural and technological change by inspiring teams to embrace innovation, experimentation, and a forward-thinking approach to data and AI.
What We're Looking For:- 15+ years of experience in Data, backend, streaming, API management, data engineering, or platform engineering, with ideally 4+ years in ML/AI.
- 5+ years of engineering management experience, ideally in data platform role.
- Deep technical understanding of modern data architecture (lakehouse, streaming, data mesh, serverless pipelines, iceberg, open table formats)
- Background in broadband or telecommunications would be highly preferred.
- Strong leadership in matrixed organizations, skilled in driving alignment across engineering, AI, and business units
- Expertise in Data and ML Ops and data infrastructure development.
- Strong understanding of cloud-native infrastructure and scalable ML systems.
- Proven ability to align data and AI platform strategy with business and product objectives.
- Passion for mentorship, coaching, and team development.
- Excellent communication skills, with the ability to collaborate across technical and non-technical teams.
- Strong ability to evaluate build vs. buy decisions for ML tooling and infrastructure.
- Experience with cost optimization and platform observability frameworks.
Nice to Have:- Contributions to open-source or thought leadership in data/AI engineering communities.
- Experience with AWS S3, MinIO, Argo, Kafka, Kubernetes, Terraform, Databricks, Flink, Ray, or other data ML Ops tooling.
- Familiarity with governance models (data cataloging, lineage, access management).
- Proven success designing and scaling enterprise-grade data platforms in cloud or hybrid environments (AWS, Azure, or Google Cloud Platform).
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.
SkillsCommunication, Data Engineering, Forward Thinking, People Leadership, Technology
CompensationThis job can be performed in Denver Campus with a Pay Range of $198,510.41 - $297,765.62
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
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.
EducationBachelor'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.
Certifications (if applicable)
Relevant Work Experience10 Years +
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.
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