Senior Specialist Solutions Engineer

il y a 2 semaines


Paris, France Databricks Temps plein

(FEQ325R80)

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:

Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering complex pipelines

Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization

Assist our customers with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures

Provide tutorials and training to improve community adoption (including hackathons and conference presentations)

Contribute to the Databricks Community

Integrate Databricks with 3rd-party applications to support customer architectures

Together with account teams, you will form successful relationships with customers to deliver technical and business value.

What we look for:

Experience in a technical role with expertise in at least one of the following:

Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions

Data Applications Engineering: Build use cases that use data - such as risk modeling, fraud detection, customer lifetime value

Production programming experience in SQL and Apache Spark (Python, Scala).

Understanding of customer-facing pre-sales or consulting role with a core strength in data engineering

Passionate in sharing advanced technical concepts, including presentations to a variety of audiences or white-boarding sessions 

Strong willingness to help and support others in solving their technical challenges

Skills in designing and implementing complex data processing systems (batch and streaming) within a public cloud (AWS, Azure or GCP)

A minimum of a Bachelor's degree in Computer science, Information systems, Engineering, Data Science or equivalent work experience

Desirable: Databricks Certification

Desirable: Experience with migrating legacy systems

Benefits

Private medical insurance

Private life and disability coverage

Pension Plan

Equity awards

Enhanced Parental Leaves

Fitness reimbursement

Annual career development fund

Work headphones reimbursement

Business travel accident insurance

Mental wellness resources

Employee referral bonus

#LI-Hybrid



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