Senior Solutions Architect, Financial Services (Data & AI)

Cacheflow; Massachusetts; Hybrid; USD 219,100 - 301,300; Full time

Job summary

Databricks is seeking a Solutions Architect to lead customer engagements on the Databricks Data Intelligence Platform. In this role you will partner with sales, post-sales, product and partners to identify use cases, develop architectures, run proof-of-concepts, and guide implementations for meaningful business outcomes.

You will travel to meet customers in your territory, become a trusted advisor, and promote open source projects such as Apache Spark, Delta Lake and MLflow while building

Qualifications

• 10+ years in a customer-facing pre-sales or consulting role with big-data focus.
• Experience designing and architecting distributed data systems.
• Proficiency in Python, SQL, Scala, Java, or R.
• Experience with public cloud providers (AWS, Azure, GCP).
• Experience with Spark, Hadoop, Kafka; data warehousing (SQL, OLTP/OLAP/DSS).

Responsibilities

• Lead customer engagements to design architectures and solutions using the Databricks platform.
• Develop reference architectures, proof-of-concepts, and integrations with cloud services and 3rd party applications.
• Provide technical leadership and act as a trusted advisor to customers and partners.
• Travel to meet customers within your territory and promote open source projects.

Skills

Big-data architectures

Python

SQL

Scala/Java/R

Cloud platforms (AWS/Azure/GCP)

Data engineering tech (Spark, Hadoop, 

Education

Undergraduate degree or higher in Engineering or Mathematics

Job description

Databricks is seeking a Solutions Architect to lead customer engagements on the Databricks Data Intelligence Platform. In this role you will partner with sales, post-sales, product and partners to identify use cases, develop architectures, run proof-of-concepts, and guide implementations for meaningful business outcomes.

You will travel to meet customers in your territory, become a trusted advisor, and promote open source projects such as Apache Spark, Delta Lake and MLflow while building