Principal Solutions Architect

📋 Description

• Define end-to-end architecture for large-scale data platforms and distributed systems
• Develop automated, custom data pipelines using Apache Spark, Trino, or similar Big Data technologies
• Establish architecture best practices for data ingestion, transformation, storage, and usage
• Improve performance, scalability, resiliency, and cost efficiency across data platforms
• Partner with Product, Engineering, Security, Cloud, and Architecture teams to modernize legacy
• Lead architecture reviews, resolve cross-team technical decisions, and define practices for data

🎯 Requirements

• Bachelor's in Computer Science, Data Engineering, or related field, or equivalent experience
• 8+ years of experience in software engineering, data engineering, or technology architecture
• 5+ years of hands-on experience with Big Data technologies and large-scale distributed data
• Experience designing and building automated, custom data pipelines using Apache Spark, Trino, or
• Experience architecting enterprise-scale data platforms and distributed systems
• Experience designing solutions in cloud environments and with expertise in Python, Java, Scala, or