Scale Solution Engineer at Databricks Canada ULC

, , Costa Rica -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Intelligence Platform, Technical Assistance, Databricks Platform, Technical Solutions, AWS, Azure, GCP, Python, Scala, SQL, Data Analytics Workflow, Data Engineering, ETL, DBT, Spark, Airflow

Industry

Software Development

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 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.

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Responsibilities

This role is critical in advising customers during their onboarding onto the Databricks Data Intelligence platform. The engineer will work directly with customers to ensure successful deployment and adoption in their production environments.