Data Architect/Principal Data Engineer, Scribd

• We’re looking for someone with proven proficiency in architecting, designing and development experience with batch and real time streaming infrastructure and workloads
• 7+ years of experience in data engineering, with a strong background in data architecture, data modeling, and data management, building and scaling robust data systems for complex business domains.
• Expertise in Scala or Python, with a deep understanding and hands-on experience in Spark for designing, optimizing, and scaling large-scale data processing pipelines, and proficiency in at least one SQL dialect
• Experience with data lake technologies (e.g., Databricks, Delta Lake), data storage formats (Parquet, Avro), query engines (such as Photon, Spark SQL), and both real-time streaming and batch processing, or equivalent technologies and frameworks

Desirable

• As a pivotal member of the team, you will lead the design and development of a robust data architecture that guides data modeling, integration, processing, and delivery standards enabling modern data product development at Scribd
• You will also serve as a data and analytics solution architect, leading architecture initiatives encompassing data warehousing, data pipeline development, data integrations, and data modeling
• You will shape Scribd’s data strategy, guiding stakeholders in how they consume and act on data
• Your expertise will help establish standards for data modeling, integration, processing, and delivery and also help translate business requirements into technical specifications
• Based on the project, this might involve cross-functional work with the Data Science, Analytics, and other Engineering and Business teams to design cohesive data models, database schemas and data storage solutions, consumption strategies and patterns.
• Almost everything you will be working on will be to increase the "customer satisfaction" for internal customers of Scribd data