Description

You will own the data architecture for large-scale projects and manage the end-to-end data lifecycle.

This role is hybrid.

Responsibilities

• Design and implement data architectures, evaluating design and operational cost-benefit tradeoffs.
• Build and launch data models and visualizations to support multiple product domains.
• Solve complex data integration problems using optimal ETL patterns and query techniques for structured and unstructured sources.
• Define and manage Service Level Agreements (SLAs) and security models based on privacy requirements.
• Optimize production pipelines, dashboards, and existing code through advanced algorithmic concepts.

Required Skills

• 7+ years of experience in data-centric roles such as data engineer, data scientist, or data analyst.
• 7+ years of experience with SQL and ETL processes.
• Expertise in data modeling.
• Proficiency in at least one programming language, including Python, C++, C#, or Scala.
• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.

Preferred Skills

• Master's or Ph.D. degree in a STEM field.

Key Skills

Education

Master's or Ph.D degree