Description
We are seeking a Solutions Architect to join our team in Denver, Colorado. As a Solutions Architect at Databricks, you will lead the adoption of the Databricks Unified Analytics Platform and work with customers to understand the technologies that power our platform.
You will sharpen your skills on open-source projects such as Apache Spark, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning.
In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will partner with the sales team to build relationships with our customers and establish yourself as a trusted advisor.
The impact you will have:
- Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks
- Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
- Build and present reference architectures, technical guides, and demo applications for customers
- Provide escalated support for critical customer operational issues
- Become an expert in, and evangelize Databricks driven open-source projects across developer communities through meetups, conferences, and webinars
- Use your strengths to help your fellow SA's, and drive cross-functional relationships across the company
- Travel to customers up to 30%
What we look for:
- 4+ years in a customer-facing pre-sales, technical architecture, or consulting role
- Experience designing and architecting distributed data systems
- Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R
- Have built solutions with public cloud providers, such as AWS, Azure, or GCP
- Experience in at least one of the following: Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Data Warehousing (e.g., SQL, OLTP/OLAP/DSS), Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
- Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.)
Benefits:
- Comprehensive benefits and perks that meet the needs of all employees
Pay Range Transparency:
- The pay range for this role is $180,000-$247,500 USD