Pre-Sales Data Architect – Financial Services

Databricks Inc.; New York, Washington (NY, District of Columbia); In loco; USD 180.000 - 248.000; Tempo pieno

Descrizione del lavoro

Databricks is seeking a Solutions Architect for the Financial Services space within Professional Services. You will design architectures, lead technical discussions, and guide customers from PoC to production using the Databricks platform.

You will partner with the sales team, provide technical leadership, and travel to client sites to deliver reference architectures and demonstrate capabilities across Spark, Delta Lake, MLflow and Unity Catalog.

Competenze

• 7+ years in a customer-facing pre-sales or consulting role.
• Experience designing distributed data systems.
• Cloud experience with AWS, Azure, or GCP.
• Experience with Spark, Hadoop, Kafka.
• Data Warehousing experience (SQL OLTP/OLAP/DSS).

Mansioni

• Partner with the sales team to help customers understand how Databricks can solve business problems.
• Provide technical leadership for customers to evaluate and adopt Databricks.
• Consult on big data architecture, run proofs of concept, and validate integrations.
• Build and present reference architectures, how-tos, and demonstrations.
• Promote open source projects (Apache Spark, Delta Lake, MLflow) to developer communities.
• Travel to meet with customers in your territory.

Conoscenze

Big-data architecture

Distributed data systems

Python

SQL

Scala

Java

R

Cloud platforms

Spark

Hadoop

Kafka

Data Warehousing

Formazione

Bachelor's degree in Computer Science or Mathematics

Engineering or mathematics discipline

Strumenti

Apache Spark

Delta Lake

MLflow

Unity Catalog

Descrizione del lavoro

Databricks is seeking a Solutions Architect for the Financial Services space within Professional Services. You will design architectures, lead technical discussions, and guide customers from PoC to production using the Databricks platform.

You will partner with the sales team, provide technical leadership, and travel to client sites to deliver reference architectures and demonstrate capabilities across Spark, Delta Lake, MLflow and Unity Catalog.