Senior Specialist Solutions Engineer

Summary

Join Databricks as a Senior Specialist Solutions Engineer (Data engineering) and guide customers in building big data solutions on the Databricks platform. You will work directly with customers, collaborating with Solution Architects to design and implement essential workloads. This customer-facing role requires hands-on experience with Apache Spark and other data technologies. You will strengthen your technical skills through mentorship and training programs, establishing expertise in an area of specialization. The position requires fluency in Italian and English, flexibility to travel, and is based in the Milan region or within commuting distance. Databricks offers comprehensive benefits, details of which can be found on their benefits website.

Requirements

• Be fluent in Italian and English (Business-level proficiency minimum)
• Be flexible to travel for customer meetings and internal events/training (up to 20-30%)
• Be based in the Milan region or within commutable distance for a hybrid schedule
• Have 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
• Have hands-on experience with SQL and Apache Spark (Python, Scala)
• Have an understanding of customer-centric pre-sales or consulting, with a focus on data engineering
• Have enthusiasm for sharing technical knowledge through various mediums
• Have a collaborative spirit and dedication to supporting others in overcoming challenges
• Have aptitude for designing and implementing sophisticated data processing systems in public cloud environments
• Have a 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

Preferred Qualifications

• Have Databricks Certification
• Have experience in legacy system migration

Benefits

Comprehensive benefits and perks