Join Us As a Senior Specialist Solutions Engineer (Data Engineering) at Databricks!

Are you an experienced Data Engineer with a knack for guiding customers through building cutting-edge big data solutions? At Databricks, we're looking for a Senior Specialist Solutions Engineer (Data Engineering) to help our customers leverage the full potential of the Databricks Data Intelligence Platform.

Key Responsibilities

As a Senior Specialist Solutions Engineer, you will:

• Guide customers through the design and successful implementation of big data projects.
• Architect production-level data pipelines, including end-to-end performance testing and optimization.
• Assist customers in advanced technical sales aspects, such as custom proofs of concept and workload sizing.
• Provide tutorials and training to enhance community adoption, including hackathons and conference presentations.
• Contribute actively to the Databricks Community.
• Integrate Databricks with 3rd-party applications to support customer architectures.
• Build strong relationships with customers to deliver both technical and business value.

Mandatory Requirements

• Fluent in both French and English (Business-level proficiency).
• 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.

What We Look For

• Experience in a technical role with expertise in software engineering/data engineering or data applications engineering.
• Production programming experience in SQL and Apache Spark (Python, Scala).
• Understanding of customer-facing pre-sales or consulting roles with a core strength in data engineering.
• Passionate about sharing advanced technical concepts, including presentations and white-boarding sessions.
• Skills in designing and implementing complex data processing systems within a public cloud (AWS, Azure, or GCP).
• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or equivalent work experience.
• Desirable: Databricks Certification and experience with migrating legacy systems.

Benefits

At Databricks, we offer a competitive benefits package including:

• 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

About Databricks

Databricks is the data and AI company, helping over 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and more than 50% of the Fortune 500 — to unify and democratize data, analytics, and AI. Headquartered in San Francisco and with offices around the globe, Databricks was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. Follow us on , , and .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We ensure that our hiring practices are inclusive, meeting equal employment opportunity standards. We consider individuals for employment without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, or other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within our discretion whether to apply for a U.S. government license for such positions, and we may decline to proceed with an applicant on this basis alone.

Company name: Databricks
Job title