Senior Solutions Architect, Data & AI Platform

Neura Market; California, Northern (MO, KY); Hybrid; USD 181,000 - 301,000; Full time

Job summary

Databricks is seeking a Solutions Architect to lead customer engagements and design architectures using Spark, Delta Lake, MLflow, and Koalas across AWS, Azure, and GCP. You will guide implementations, build champions, and become a trusted advisor for customers.

The role emphasizes technical leadership, data engineering and data science expertise, with travel to customers in your region and collaboration with sales, product, and post-sales teams.

Qualifications

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with AWS, Azure, or GCP
• Data Engineering technologies (Spark, Hadoop, Kafka)
• Data Warehousing (SQL, OLTP/OLAP/DSS)
• US Citizenship

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 reference architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

Skills

Customer-facing experience

Distributed data systems

Programming languages

Public Sector experience

Public cloud experience

Data engineering tools

Data warehousing

Job description

Databricks is seeking a Solutions Architect to lead customer engagements and design architectures using Spark, Delta Lake, MLflow, and Koalas across AWS, Azure, and GCP. You will guide implementations, build champions, and become a trusted advisor for customers.

The role emphasizes technical leadership, data engineering and data science expertise, with travel to customers in your region and collaboration with sales, product, and post-sales teams.