← All jobs · Databricks

Scale Solution Engineer

Databricks ·
32
AI-Agency
B25 U45
📍 San José, CR Entry 1+ yrs
PythonScalaSQLSparkAWSAzureGCPSnowflake
TL;DR

Scale Solution Engineer at Databricks providing technical onboarding and deployment support to enterprise customers on the Data Intelligence platform. Advises on cloud infrastructure, data engineering, and analytics workflows across AWS, Azure, and GCP.

Apply at Databricks →
share:
you'll be redirected to the company's career page

Job description

CSQ227R230

At Databricks, we aim to empower our customers to solve the world's most challenging data problems using the Data Intelligence platform. As a Scale Solution Engineer, you will be critical in advising customers during their onboarding. You will work directly with customers to help them onboard and deploy Databricks in their production environment.
 
The impact you will have:
  • You will ensure new customers have an excellent experience by providing technical assistance early in their journey
  • You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
  • You will work directly with multiple customers concurrently to provide technical solutions.
What we look for:
  • Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
  • 1+ years experience in a technical role, preferably in the data or cloud field
  • Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.
  • Knowledge of a programming language - Python, Scala, or SQL
  • Knowledge of end-to-end data analytics workflow
  • Hands-on professional or academic experience in one or more of the following:
    • Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
    • Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
  • Excellent time management and prioritization skills
  • Excellent written and verbal communication
  • Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)
 
 

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 TwitterLinkedIn 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 click here.

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.

Apply at Databricks →

More open roles at Databricks

Databricks 🔷 AI-first · 🔄 synced 11m ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Singapore, SG 🛠 AI tools welcome at work · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning for enterprise customers. Role involves customer engagement, technical advisory, and cross-functional collaboration with product and engineering teams.
PyTorchHuggingFaceLangChainDSPypandasscikit-learn
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 11m ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 US 🌐 Remote-only 💰 $180K–$248K 🛠 AI tools welcome at work · Senior
AI Engineer (Forward Deployed) at Databricks building and productionizing GenAI applications for customers. Focus on RAG, multi-agent systems, fine-tuning, and production ML deployments on cloud platforms.
HuggingFaceLangChainDSPyPyTorchpandasscikit-learn
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 11m ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Sydney, AU 🌐 Remote-only · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning. Role involves customer engagements, production rollouts, and cross-functional collaboration with product and engineering teams.
HuggingFaceLangChainDSPyPyTorchpandasscikit-learn
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 11m ago
AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector
📍 US 🌐 Remote 💰 $180K–$248K 🛠 AI tools welcome at work · Senior
AI Forward Deployed Engineer at Databricks building GenAI solutions for U.S. federal government customers. Develop production-grade RAG, multi-agent systems, and LLM applications; serve as technical advisor and thought leader.
HuggingFaceLangChainDSPyPyTorchscikit-learnpandas
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 11m ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Melbourne, AU 🌐 Remote-only · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning. Role involves customer engagements, production rollouts, and cross-functional collaboration with product and engineering teams.
HuggingFaceLangChainDSPyPyTorchpandasscikit-learn
80
AI-core