Data Engineering Expert for Big Data Solutions

il y a 1 mois

Paris, Île-de-France Databricks Temps plein
About the Role

As a Senior Specialist Solutions Engineer, you will be responsible for guiding customers in building big data solutions on Databricks for a wide variety of use cases. You will be part of a customer-facing role, working with and supporting Solution Architects.

This role requires hands-on production experience with Apache SparkTM and expertise in other data technologies. Our team helps customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform.

Mandatory Requirements
  • Fluent in French and English (Business-level proficiency minimum)
  • Flexible to travel for customer meetings and internal events/training (up to 20-30%). Based in Ile-de-France (Paris region) or within commutable distance to Paris for a hybrid schedule.
The Impact You Will Have

You will guide and empower strategic customers in their big data journey, from architectural design to complex data pipeline engineering. You will craft resilient data pipelines, including comprehensive performance testing and optimization.

You will collaborate with customers on advanced technical aspects, developing tailored solutions and architectures. You will foster community growth through engaging tutorials and training sessions.

You will enrich the Databricks Community with your unique perspective and expertise. You will integrate Databricks with diverse applications to support customer needs.

You will build lasting relationships with customers, delivering both technical excellence and business value.

What We Look For
  • 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
  • Desirable: Databricks Certification and experience in legacy system migration
Estimated Salary Range

$120,000 - $180,000 per year

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