Senior Specialist Solutions Engineer (Data Engineering)

Databricks; Paris; Hybride; EUR 60 000 - 100 000; Plein temps

Résumé du poste

An innovative firm seeks a Senior Specialist Solutions Engineer to empower customers in their big data journey. This role involves guiding clients from architectural design to implementing complex data pipelines using cutting-edge technologies. You will collaborate closely with customers, fostering community growth through tutorials and training sessions. With a focus on performance tuning and data engineering, you'll leverage your expertise in Apache Spark and SQL to deliver tailored solutions. If you're passionate about sharing knowledge and driving technical excellence, this opportunity is perfect for you.

Qualifications

• Experience in data engineering with a focus on building data pipelines.
• Hands-on experience with SQL and Apache Spark in Python or Scala.

Responsabilités

• Guide customers in building big data solutions on Databricks.
• Craft resilient data pipelines with performance testing and optimization.

Connaissances

Apache Spark

Data Ingestion

SQL

Streaming Technologies

Performance Tuning

Customer-Centric Consulting

Formation

Bachelor's Degree in Computer Science

Equivalent Work Experience

Outils

Spark Streaming

Kafka

Description du poste

As a Senior Specialist Solutions Engineer (Data engineering), you will guide customers in building big data solutions on Databricks for a wide variety of use cases.

You will be in a customer-facing role, working with and supporting Solution Architects. This role requires hands-on production experience with Apache Spark and expertise in other data technologies.

Our Specialist 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.

As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, peer delivering and internal training programs and establish yourself in an area of speciality - whether that be streaming, performance tuning, industry expertise, or more.

Notes on 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 :

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

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