Principle Data Architect

Comcast

4d•$107,020 - $250,829

About The Position

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 Principal Cloud 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!

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
Design and Implementing enterprise reporting solutions using Tableau / Looker
Experience in integrating pipeline with REST API / GRAPHQL
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
Bachelors in an Engineering discipline with 10+ years of relevant experience in areas identified above
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.

Nice To Haves

Exposure to Mulesoft API and Clean Rooms will be desired
Possessing a certification in one of the following is a big plus - AWS data engineering; Databricks certification.
Media & Entertainment industry experience in measurement and attribution preferred
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.

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.