Solutions Architect - Financial Services (Asset and Wealth Management)
Databricks3 months ago
Base Salary
$180k - $248k/yr
Responsibilities
- Partner with sales teams 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, execute proofs of concept, and validate integrations with cloud services and third-party applications.
- Build and present reference architectures and how-to materials and demonstrate applications for customers.
- Promote Apache Spark, Delta Lake, MLflow, and Unity Catalog through developer communities, meetups, conferences, and webinars.
- Build customer relationships, identify and cultivate champions, and establish trusted-advisor relationships.
- Travel to meet customers in the assigned territory.
Requirements
- 7+ years of experience in a customer-facing pre-sales or consulting role, preferably solving data engineering and big-data analytical challenges.
- Experience designing and architecting distributed data systems.
- Ability to program in and debug at least one of Python, SQL, Scala, Java, or R.
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
- Experience with data engineering technologies such as Spark, Hadoop, and Kafka.
- Experience with data warehousing technologies such as SQL, OLTP, OLAP, and DSS.
- An undergraduate degree or higher in engineering, mathematics, computer science, applied mathematics, electrical engineering, or a related discipline.
- Experience with global system integrators, consulting organizations, financial services technology, or financial services data providers is a positive differentiator.
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.