Principal Data Architect Job at Comcast Advertising

Job Description

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!

Job Responsibility

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
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
Design and Implementing enterprise reporting solutions using Tableau / Looker
Experience in integrating pipeline with REST API / GRAPHQL
Exposure to Mulesoft API and Clean Rooms will be desired
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

Nice to have

AWS data engineering certification
Databricks certification
Media & Entertainment industry experience in measurement and attribution preferred

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support
Base pay
Bonus/Commission eligibility

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Principal Data Architect

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