Principal Cloud Data Architect

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 Effectv, we're building a data-driven future, and we need a Principal Data Architect to lead the way!

We're looking for someone with deep experience in architecting data solutions in media & entertainment landscape and can simplify how we measure and understand our customers' needs, ultimately driving better business decisions and customer experiences. 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 Effectv’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 Effectv 
• 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.
• Analyze different options to make a build vs. buy decision.
• Identify technology and skills gaps in solution implementations
• Guide and unblock teams working with data center and network engineering to create infrastructure deployment plans.
• 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:

• Media & Entertainment industry experience in measurement and attribution preferred
• Implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, Big Query, Snowflake); 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 dimensional data models and semantic layers ensuring ease of data consumption. Experience with tools such as AtScale, Cube.dev preferred
• Designing and developing using data m