Scale Solutions Engineer

Posted 15 Days Ago
Be an Early Applicant
São Paulo
In-Office
Mid level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Technical Services Engineer at Databricks advises customers during onboarding, ensuring excellent experience, providing technical solutions, and guiding on platform usage.
Summary Generated by Built In
CSQ127R332
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 and accelerate Databricks features adoption.
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
  • 3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
  • Experience in one or more of the following:
  • Solid understanding of the end to end data analytics workflow
  • Excellent time management and prioritization skills
  • Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
  • 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, in English and Portuguese
  • Bonus
    • Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models).
    • Databricks certification(s)

 

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.

Top Skills

Airflow
AWS
Azure
Dbt
ETL
GCP
Python
Redshift
Scala
Snowflake
Spark
SQL
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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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