Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division FreeWheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels. Job Summary At Comcast advertising, we're building a data-driven future, and we need a Senior Data Architect to lead the way! We're looking for someone who can simplify how we provide visibility into our inventory across all linear and digital assets. You'll work closely with our engineering teams to design and build secure, cost-effective, and high-performing cloud solutions. You'll partner with teams across the company to innovate and deliver cutting-edge cloud services and platforms. And you'll collaborate with the best and brightest minds in the industry to create a private cloud offering that is scalable, reliable, and easy to use. You'll be a key leader, guiding junior engineers and project teams while setting precedents for the business and technology. If you're passionate about data and cloud solutions, and you thrive in a collaborative environment, we want to hear from you! Job Description Core Responsibilities - Collaborate across application and data teams to orchestrate data solutions that meet needs from transactional, analytics and data science needs - Propose solutions focusing on tenants such as cost optimization, reducing data hops, ensuring high availability, performance and Comcast Advertising's strategic needs and future growth goals as it relates to becoming a 'data driven' organization. - Ensure solutions adhere to policies outlined at Comcast level such as data privacy and security - Design and manage robust, scalable data models and semantic layer - Build prototypes, publish design patterns for use by the organization - Provide guidance on getting started in cloud and cloud migration techniques - Work with the data governance team to ensure critical data elements are identified and monitored - Work with partners like AWS, Databricks, Snowflake to ensure services meet the growing needs of Comcast Advertising - Facilitate in-depth architectural discussions and design exercises to create world-class cloud solutions. - Work with internal and external stakeholders to gather requirements. - Conduct surveys, brainstorming sessions, and analysis to understand business need/fit. - Identify technology and skills gaps in solution implementations - Promote the use of industry and Company technology standards. - Partner with business leaders to understand their strategic objectives and translate them into actionable data architecture roadmaps that enable data-driven decision making - Mentor and lead teams of data engineers and architects, fostering a culture of continuous improvement, collaboration, and technical excellence - Consistent exercise of independent judgment and discretion in matters of significance. - Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. - Other duties and responsibilities as assigned. Requirements: - Implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); 3rd Party Integration (Salesforce, D365); - Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP; - Experience building data models and semantic layers - Experience in defining Master Data Management strategy and exposing data securely as a through data sharing architecture and APIs - Leading and supporting data architecture team and leads in creation of cloud data migration/integration/warehouse plans, roadmap, success metrics, and assessment of client's enterprise (on-premise and on-cloud) data systems. - Designing and developing using data modeling techniques for mixed workloads, such as OLTP, OLAP, streaming using any formats (structured, semi-structured, unstructured); - Strong understanding of data governance practices - Architecting and designing data implementation patterns and engineered solutions using native cloud capabilities that span data ingestion & integration (ingress and egress), data storage (raw & cleansed), data prep & processing, master & reference data management, data virtualization & semantic layer, data consumption & visualization; - Implementing leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements. - Guiding the creation of detailed documentation related to data architecture, integration, and data flows. - Familiarity with message-driven data architecture to ensure de-coupling via asynchronous message-passing between loosely coupled applications and data services - Possessing a certification in one of the following is a big plus - AWS data engineering; Databricks certification. - Bachelors in an Engineering discipline with 10+ years of relevant experience in areas identified above - Media & Entertainment industry experience in measurement and attribution preferred 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. - Respect and promote inclusion & diversity. - 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 EOE/Veterans/Disabled/LGBT employer. 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. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant's criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment. Skills: Amazon Web Services (AWS); Data Modeling; Data Architecture; Snowflake Data Warehouse; Data Integration; Databricks Platform; Big Data Engineering Salary: National Pay Range: $90,695.14 USD-$212,566.73 USD Illinois Pay Range: $96,363.58 USD - $187,058.72 USD Colorado Pay Range: $102,032.03 USD - $195,561.39 USD Hawaii Pay Range: $119,037.37 USD - $178,556.05 USD Washington DC Pay Range: $130,374.26 USD - $195,561.39 USD Maryland Pay Range: $107,700.48 USD - $195,561.39 USD Minnesota Pay Range: $102,032.03 USD - $178,556.05 USD New York Pay Range: $107,700.48 USD - $212,566.73 USD Washington Pay Range: $102,032.03 USD - $204,064.06 USD New Jersey Pay Range: $113,368.92 USD - $204,064.06 USD Vermont Pay Range: $107,700.48 USD - $170,053.38 USD Massachusetts Pay Range: $113,368.92 USD - $204,064.06 USD California Pay Range: $102,032.03 USD - $188,948.20 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. 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. 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 7-10 Years