Scale Solutions Engineer

Posted 22 Days Ago
Be an Early Applicant
Hiring Remotely in Costa Rica
Remote
Junior
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
As a Scale Solutions Engineer at Databricks, you will help onboard customers, provide technical guidance, and ensure a smooth deployment experience with the Databricks Platform.
Summary Generated by Built In

CSQ326R204

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 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 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.

Skills Required

  • 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
  • Knowledge of a programming language - Python, Scala, or SQL
  • Knowledge of end-to-end data analytics workflow

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Equity Value & Accessibility Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
  • Healthcare Strength Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
  • Parental & Family Support Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.

Databricks Insights

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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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