Financial Services Solutions Architect - Data & AI

Neura Market; United States; On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks is seeking a Solutions Architect to lead customer engagements, craft architectures, and guide implementations across the Data Intelligence Platform. You will collaborate with sales, post-sales, and partners to identify use cases, develop architectures, and drive successful outcomes for clients.

Travel to customer sites will be required. You will build relationships with champions, provide technical leadership for evaluation and adoption, and promote open source projects like Apache

Qualifications

• 7+ years in a customer-facing pre-sales or consulting role specializing in big-data technologies.
• Experience designing and architecting distributed data systems.
• Comfortable with Python, SQL, Scala, Java, or R.
• Experience with public cloud providers AWS, Azure, or GCP.
• Experience with Spark, Hadoop, Kafka.
• Experience with SQL OLTP/OLAP/DSS.
• Undergraduate degree in engineering or mathematics.

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, execute PoCs for strategic customer projects, and validate integrations with cloud services and other 3rd party applications.
• Build and present reference architectures, how-tos, and demonstrate applications for customers.
• Become an expert in, and promote open source projects across developer communities through meetups, conferences, and webinars.
• Travel to meet with customers in your territory.

Skills

Big-data experience

Distributed systems

Python/SQL/Scala/Java

Public cloud (AWS/Azure/GCP)

Data engineering tech

Data warehousing

Education

Undergraduate degree in Engineering/Mathematics

Job description

Databricks is seeking a Solutions Architect to lead customer engagements, craft architectures, and guide implementations across the Data Intelligence Platform. You will collaborate with sales, post-sales, and partners to identify use cases, develop architectures, and drive successful outcomes for clients.

Travel to customer sites will be required. You will build relationships with champions, provide technical leadership for evaluation and adoption, and promote open source projects like Apache