Solutions Architect - Digital Native Business, Named Accounts
Databricks2 months ago
Base Salary
$180k - $248k/yr
Responsibilities
- Partner with sales teams to provide technical leadership and explain how Databricks can solve customer business problems.
- Consult on big data architectures and implement proofs of concept spanning data engineering, data science, machine learning, and SQL analysis workflows.
- Validate integrations with cloud services, internal tools, and third-party applications.
- Collaborate with Solutions Architects, product teams, customers, and the broader customer-facing organization.
- Promote Databricks and recruit contributors for the Spark, Delta Lake, and MLflow open-source projects.
- Guide customers through competitive landscapes, best practices, implementation, and technical champion development.
Requirements
- 5+ 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 AWS, Azure, or GCP.
- Expertise in data engineering technologies such as Spark, Hadoop, or Kafka, or in data science and machine learning technologies such as pandas, scikit-learn, PyTorch, or TensorFlow.
- Availability to travel to customers in the assigned region.
- A degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research is desired.
- Databricks Certification is a preferred qualification.
Benefits
- Remote location flexibility is indicated, with candidates outside listed locations also considered.
- Comprehensive employee benefits and perks are offered, with regional details available separately.
- 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.