Senior Data & AI Solutions Architect, Pre-Sales

Databricks Inc.; Illinois; On-site; USD 219,000 - 301,000; Full time

Job summary

Databricks is seeking a Solutions Architect to drive adoption of the Databricks Unified Analytics Platform. You will work with customers, product and post-sales teams to architect solutions, demonstrate value, and guide implementations across cloud services and open-source projects.

Responsibilities include leading technical discussions, designing distributed data architectures, and delivering reference architectures and demos. Travel to customer sites in your region is required.

Qualifications

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role.
• Experience designing distributed data systems.
• Proficient in Python, Scala, Java, SQL, or R.
• US Citizen.

Responsibilities

• Partner with the sales team to help customers understand how Databricks can help solve their business problems.
• Provide technical leadership for customers to evaluate and adopt Databricks.
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
• Build and present references architectures, how-tos, and demo applications for customers.
• Become an expert in, and promote Databricks inspired open-source projects across developer communities through meetups, conferences, and webinars.
• Travel to customers in your region.

Skills

Customer-facing role

Distributed data systems

Python/Scala/Java/SQL/R

Public Sector experience

Public cloud (AWS/Azure/GCP)

Data engineering (Spark/Hadoop/Kafka)

Data warehousing (SQL)

US Citizenship

Education

Quantitative degree (CS/Applied Math/OR)

Tools

Spark

Hadoop

Kafka

SQL

Koalas

Job description

Databricks is seeking a Solutions Architect to drive adoption of the Databricks Unified Analytics Platform. You will work with customers, product and post-sales teams to architect solutions, demonstrate value, and guide implementations across cloud services and open-source projects.

Responsibilities include leading technical discussions, designing distributed data architectures, and delivering reference architectures and demos. Travel to customer sites in your region is required.