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Databricks

Databricks

via Remote Rocketship

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Solutions Architect, Digital Native Business

Anywhere
full-time
Posted 9/6/2025
Verified Source
Key Skills:
Python
SQL
Data Engineering
Cloud platforms (AWS, Azure, GCP)
Spark
Hadoop
Kafka
Data Science and Machine Learning (pandas, scikit-learn, pytorch, Tensorflow)

Compensation

Salary Range

$130K - 180K a year

Responsibilities

Develop architectures and solutions for big data platforms, guide customers on best practices, implement proof of concepts, and collaborate with sales and engineering teams.

Requirements

5+ years in data engineering, data science, or technical architecture roles, experience with distributed data systems, Python and SQL programming, public cloud providers, and expertise in big data or machine learning technologies.

Full Description

Description: As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applicationsCollaborate with your fellow Solutions Architects, using your skills to support each other and our usersBecome an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. Requirements: 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting roleExperience building distributed data systemsComfortable programming in, and debugging, Python and SQLHave built solutions with public cloud providers such as AWS, Azure, or GCPExpertise in Data Engineering technologies (Ex: Spark, Hadoop, Kafka) or Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)Available to travel to customers in your region[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)Nice to have: Databricks Certification 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.

This job posting was last updated on 9/9/2025

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