Sr. Solutions Architect - Digital Native Business, Strategics
Databricks3 months ago
Base Salary
$219k - $301k/yr
Responsibilities
- Partner with sales teams to provide technical leadership and explain how Databricks can solve customer business problems.
- Lead technical discovery and design architectures for strategic customer projects.
- Implement proofs of concept spanning data engineering, data science, machine learning, and SQL analysis workflows.
- Help customers build integrations with cloud services, internal tools, and third-party applications.
- Act as a strategic technical advisor focused on customer business outcomes.
- Collaborate with other Solutions Architects to support customers and users.
- Promote Databricks open-source projects and recruit contributors in the developer community.
Requirements
- 7+ years of experience in data engineering, data science, technical architecture, or a similar pre-sales or consulting role.
- Experience building distributed data systems.
- Ability to program in and debug Python and SQL.
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
- Expertise in data engineering technologies or data science and machine learning technologies.
- Availability to travel to customers in the assigned region.
- A degree in a quantitative discipline is desired, such as Computer Science, Applied Mathematics, or Operations Research.
- Databricks Certification is a nice-to-have qualification.
Benefits
- Remote work; Pacific Time preferred and Mountain Time considered.
- Comprehensive benefits and perks, with details varying by region.
- Eligibility for annual performance bonus and equity may be included.
- Travel to customers in the assigned region is required.
Tech Stack
Apache HadoopApache KafkaApache SparkAWSAzureDatabricksGoogle Cloud PlatformMLflowPandasPythonPyTorchscikit-learnSQLTensorFlow
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.