Arkham Technologies
11 - 50 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Arkham Technologies is a technology company specializing in the development and deployment of an AI Operating System designed to unify data and transform operations across various industries. Their integrated platforms enable businesses to consolidate fragmented systems, automate operations, and deploy advanced AI models to solve complex challenges. Arkham's solutions focus on enhancing productivity and efficiency, supporting asset management, democratizing business intelligence, automating financial operations, and providing real-time anomaly detection. Trusted by industry leaders, Arkham Technologies empowers their clients to achieve breakthroughs, innovate rapidly, and secure a competitive advantage.
Senior Data Engineer
Job not on LinkedIn
🕒 December 18, 2025
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Arkham Technologies
11 - 50 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Arkham Technologies is a technology company specializing in the development and deployment of an AI Operating System designed to unify data and transform operations across various industries. Their integrated platforms enable businesses to consolidate fragmented systems, automate operations, and deploy advanced AI models to solve complex challenges. Arkham's solutions focus on enhancing productivity and efficiency, supporting asset management, democratizing business intelligence, automating financial operations, and providing real-time anomaly detection. Trusted by industry leaders, Arkham Technologies empowers their clients to achieve breakthroughs, innovate rapidly, and secure a competitive advantage.
📋 Description
• Own the high-performance Data Platform based on Lakehouse architecture. • Work with Apache Spark, Trino, and Delta Lake. • Ensure data governance and interoperability across platforms. • Shape data infrastructure across the entire data lifecycle—from ingestion to transformation and activation.
🎯 Requirements
• 5+ years in data engineering, data architecture, or a related field. • Proficiency in Apache Spark, Delta Lake, and Trino. • Strong experience with Python for scripting and automation. • Hands-on experience with AWS services, including Glue, S3, and EMR. • Understanding of distributed data systems and query engines. • Excellent analytical and debugging skills.
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