Databricks is hiring a
Senior Specialist Solutions Engineer

Summary

Join our team as a Senior Specialist Solutions Engineer (Data engineering) and guide customers in building big data solutions on Databricks for various use cases. You will be in a customer-facing role, working with Solution Architects, and require hands-on production experience with Apache Spark and expertise in other data technologies.

Requirements

• Fluent in Italian and English (Business-level proficiency minimum)
• Flexible to travel for customer meetings and internal events/training (up to 20-30%). Based in the Milan region or within commutable distance for a hybrid schedule
• Experience in a technical role with expertise in at least one of the following
• Data Engineering: Proficiency in data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance enhancement, and troubleshooting
• Data Applications: Ability to develop impactful use cases such as risk modeling or customer lifetime value analysis
• Hands-on experience with SQL and Apache Spark (Python, Scala)
• Understanding of customer-centric pre-sales or consulting, with a focus on data engineering
• Enthusiasm for sharing technical knowledge through various mediums
• Collaborative spirit and dedication to supporting others in overcoming challenges
• Aptitude for designing and implementing sophisticated data processing systems in public cloud environments
• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or equivalent work experience

Responsibilities

• Guide and empower strategic customers in their big data journey, from architectural design to complex data pipeline engineering
• Craft resilient data pipelines, including comprehensive performance testing and optimization
• Collaborate with customers on advanced technical aspects, developing tailored solutions and architectures
• Foster community growth through engaging tutorials and training sessions
• Enrich the Databricks Community with your unique perspective and expertise
• Integrate Databricks with diverse applications to support customer needs
• Build lasting relationships with customers, delivering both technical excellence and business value

Benefits

• Health insurance
• Retirement benefits
• Paid time off
• Remote work, flexible hours