Full-Time

Solutions Architect

Digital Native Business

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics

Senior

Remote in USA

Required Skills
Microsoft Azure
Python
Sales
Data Science
Apache Spark
SQL
Apache Kafka
AWS
Pandas
Hadoop
Google Cloud Platform
Requirements
  • 3+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
  • Experience building distributed data systems
  • Comfortable programming in, and debugging, Python and SQL
  • Have built solutions with public cloud providers such as AWS, Azure, or GCP
  • Expertise 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
Responsibilities
  • Shape the future of the big data landscape by working with data engineering and data science teams
  • Collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions
  • Guide customers through the competitive landscape, best practices, and implementation
  • Provide technical leadership to help customers understand how Databricks can solve their business problems
  • Consult on Big Data architectures and implement proof of concepts for strategic projects
  • Collaborate with fellow Solutions Architects and support users
  • Become an expert in and promote Databricks inspired open-source projects

Databricks provides a Lakehouse Platform integrating data management, analytics, and AI capabilities across a range of industries. Employing tools like Delta Lake and Databricks SQL enhances operational efficiency and precision. As a workplace, it offers a collaborative and technology-driven environment, promoting growth through cutting-edge machine learning solutions and a commitment to leading the industry in data innovation. This makes it an inspiring place for tech professionals to advance their careers in a vibrant and forward-thinking setting.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

14%

1 year growth

37%

2 year growth

112%

Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave