Principal Data Architect - FreeWheel

• 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