Financial Services Solutions Architect (Pre-Sales)

Databricks; Town of Tonawanda (NY); In loco; USD 180.000 - 248.000; Tempo pieno

Descrizione del lavoro

Databricks is seeking Solutions Architects to drive growth of the Databricks Unified Analytics Platform. You will work with customers, teammates, product and post-sales to identify use cases, develop architectures, and guide implementations to deliver value.

The role requires expertise in cloud platforms, data engineering, data analytics, and ML, plus experience in building champions and trusted advisor relationships. Travel to customers in the region is expected.

Competenze

• 7+ years in a customer-facing pre-sales, technical architecture, or consulting role.
• Experience designing and architecting distributed data systems.
• Comfortable programming in at least one: Python, Scala, Java, SQL, or R.
• Built solutions with public cloud providers such as AWS, Azure, or GCP.
• Data engineering technologies (Spark, Hadoop, Kafka).
• Data warehousing (SQL, OLTP/OLAP/DSS).
• Desired degree in a quantitative discipline (CS, Applied Math, OR).

Mansioni

• Partner with the sales team to help customers understand Databricks value.
• Provide technical leadership for customers to evaluate and adopt Databricks.
• Consult on big data architecture and prove concepts for strategic projects.
• Build and present reference architectures, how-tos, and demos.
• Promote Databricks open-source projects across developer communities.
• Travel to customers in your region.

Conoscenze

Distributed data systems design

Public cloud experience

Programming languages (Python, Scala,?

Data engineering technologies (Spark,

Data warehousing (SQL, OLTP/OLAP)

Formazione

Degree in quantitative discipline (CS/Applied Math)

Strumenti

Apache Spark

Hadoop

Kafka

Cloud platforms (AWS/Azure/GCP)

Descrizione del lavoro

Databricks is seeking Solutions Architects to drive growth of the Databricks Unified Analytics Platform. You will work with customers, teammates, product and post-sales to identify use cases, develop architectures, and guide implementations to deliver value.

The role requires expertise in cloud platforms, data engineering, data analytics, and ML, plus experience in building champions and trusted advisor relationships. Travel to customers in the region is expected.