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Data Architect - Remote

Posted 39 weeks ago
Data Analysis
Full Time
USA

Overview

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.

In Short

  • Lead the design and development of data architecture.
  • Serve as a data and analytics solution architect.
  • Shape Scribd’s data strategy.
  • Work with data engineering team on complex challenges.
  • Establish standards for data modeling and integration.
  • Translate business requirements into technical specifications.
  • Collaborate with Data Science, Analytics, and Engineering teams.
  • Focus on increasing customer satisfaction for internal customers.
  • Work on improving core data layer.
  • Make a real impact on data product development.

Requirements

  • 7+ years of experience in data engineering.
  • Strong background in data architecture and management.
  • Expertise in Scala or Python and Spark.
  • Experience with data lake technologies.
  • Proficiency in SQL dialects.
  • Experience with real-time streaming and batch processing.
  • Strong grasp of AWS data platform services.
  • Experience with automation and CI/CD tooling.
  • Experience integrating with BI frameworks.
  • Strong communication skills using collaboration tools.

Benefits

  • Flexible work benefit, Scribd Flex.
  • Opportunity to work on impactful projects.
  • Collaborative work environment.
  • Support for personal and professional growth.
  • Engagement with a large user base.
Scribd logo

Scribd

Scribd is a dynamic digital library and reading subscription service that provides access to a vast collection of books, audiobooks, and documents. The company is dedicated to enhancing user experiences through data-driven insights and innovative product strategies. With a focus on collaboration across various teams, including data scientists, product managers, and engineers, Scribd aims to empower its users by optimizing discovery, engagement, and personalized content recommendations. The company embraces the latest advancements in analytics and generative AI to drive growth and improve its offerings, making it a leader in the digital content space.

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