Solutions Engineer (Data and AI)

Databricks

Paris, FR

Remote

Why this role

Pace

Fast Paced

The Solutions Engineer role at Databricks involves a fast-paced environment, as evidenced by the expectation to quickly ramp up through the FE Launchpad program and independently lead customer engagements.

Collaboration

High

This role requires strong collaboration skills, as the job description mentions partnering with Account Executives, Solutions Architects, and cross-functional teams to shape customer architectures and drive lakehouse and Lakebase adoption.

Autonomy

Medium

Solutions Engineers at Databricks are expected to take initiative and build demos and prototypes independently, indicating a high level of autonomy in their work.

Decision Impact

Team

Decisions made by Solutions Engineers can have a significant impact on customer architectures and the adoption of lakehouse and Lakebase solutions, as they work closely with cross-functional teams to shape these solutions.

Role Level

Team Lead

The complexity of the role is high, given the need to combine technical expertise with business context and to work with modern data architectures, AI applications, and real-time analytics.

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

help customers realize the value of the Databricks Data Intelligence Platform
progress through FE Launchpad
build demos and prototypes
partner with cross-functional teams
grow through certifications, bootcamps, and mentorship

Typical background

STEM degree or equivalent experienceinterest in working with customerscuriosity about modern data architectures, AI applications, and real-time analytics

Transferable backgrounds

Coming from Data Engineer at a tech startup
Technical Proficiency · Problem Solving
The experience in solving real-world data challenges and building prototypes aligns well with the role's requirement to demonstrate the capabilities of the Databricks platform.
Coming from Consultant in a professional services firm
Customer Interaction · Collaboration
The ability to work closely with clients and cross-functional teams to understand and solve their challenges is directly transferable to the Solutions Engineer role.

Skills & requirements

Required

Professional Proficiency In English And FrenchEarly-career Professionals With ~2 Years Of Experience In Data Engineering, Software Engineering, Ai/mlStrong Technical Foundation In STEMClear Communication SkillsOwnership MindsetFoundational Familiarity With Cloud Platforms Such As AWS, Azure, Or GCP

Preferred

Exposure To Databricks Or Cloud Certifications

Stack & domain

PythonReactAWSAzureGCPDatabricksDelta LakeMlflowCommunicationCollaborationGrowth MindsetOwnership MindsetData EngineeringSoftware EngineeringAi/mlCloud Platforms

About the role

As a Solutions Engineer at Databricks, you'll collaborate closely with customers to solve complex data challenges, leveraging your technical expertise and business acumen to showcase the capabilities of Databricks' Data Intelligence Platform, making this role ideal for early-career professionals with a passion for data engineering and AI.

Original posting from Databricks

FEQ227R79
At Databricks, we help organizations unify their data, analytics, and AI on one platform. Our mission is to simplify how teams work with data and accelerate innovation. As a Solutions Engineer, you’ll partner with customers to solve real-world data challenges by combining technical expertise with business context to demonstrate what’s possible on the Databricks Data Intelligence Platform. You’ll join through our Launchpad program, a structured onboarding experience designed to help you ramp quickly and build confidence in customer-facing work.
 
The impact you will have: 
Help customers realize the value of the Databricks Data Intelligence Platform as a trusted technical partner to account teams
Progress through FE Launchpad from structured learning and shadowing to independently leading customer engagements
Build demos and prototypes across data engineering, analytics, and AI/GenAI to solve real customer problems
Partner with Account Executives, Solutions Architects, and cross-functional teams to shape customer architectures and drive lakehouse and Lakebase adoption
Grow through certifications, bootcamps, and mentorship, and share your learning with your cohort and the broader FE community
 
What we look for:
Professional proficiency in English and French (written and spoken) to support customer engagements in the region
Early-career professionals with ~2 years of experience in data engineering, software engineering, AI/ML, or a related field who are interested in customer-facing technical roles.
A strong technical foundation (STEM degree or equivalent experience) and curiosity about modern data architectures, AI applications, and real-time analytics
Interest in working with customers; running discovery, understanding challenges, and explaining technical concepts clearly to both technical and business audiences
Clear communication skills, strong collaboration, and a growth mindset suited to a cohort-based learning environment
Ownership mindset; you take initiative, build, and iterate on ideas (e.g., demos, apps, or MVPs)
Foundational familiarity with cloud platforms such as AWS, Azure, or GCP
Exposure to Databricks or cloud certifications
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered 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, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Source: Databricks careers