Amazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformGraphQLTableauTerraformAnalyticsLookerSnowflakeRedshiftDatabricksGCPGoogle CloudCloudFormationGlueREST APIDecision MakingCollaborationRemote Work
About this role
Role Overview
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
Requirements
Bachelor's Degree
10+ years of relevant experience in areas identified above
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)
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