Sr. Solutions Architect - Public Sector (Defense Industrial Base)
Databricks2 months ago
Base Salary
$219k - $301k/yr
Responsibilities
- Partner with the sales team to help customers understand how Databricks can solve their business problems.
- Provide technical leadership as customers evaluate and adopt Databricks.
- Consult on big data architecture and implement proofs of concept for strategic customer, data science, and machine learning projects.
- Validate integrations with cloud services and third-party applications.
- Build and present reference architectures, how-to materials, and demo applications.
- Promote Databricks open-source projects through meetups, conferences, webinars, and developer communities.
- Build customer relationships, identify champions, and serve as a trusted advisor.
- Travel to customers in the assigned region.
Requirements
- 8+ years of experience in a customer-facing pre-sales, technical architecture, or consulting role.
- Experience designing and architecting distributed data systems.
- Programming and debugging experience in at least one of Python, Scala, Java, SQL, or R.
- Experience supporting public sector clients.
- Experience building solutions with AWS, Azure, or GCP.
- Experience with data engineering technologies such as Spark, Hadoop, or Kafka.
- Knowledge of data warehousing, including SQL and OLTP/OLAP/DSS environments.
- U.S. citizenship.
- A degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research is desired.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available.
- Travel to customers in the assigned region.
Tech Stack
Apache HadoopApache KafkaApache SparkAWSAzureDatabricksGoogle Cloud PlatformJavaMLflowPythonRScalaSQL
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.