Solutions Architect, Data & AI for Financial Services

Databricks Inc.; New York (NY); On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks Solutions Architects lead customer engagements, shaping architectures with our Unified Analytics Platform. You will partner with the sales team, guide customers through implementation, and become a trusted advisor by showcasing open-source projects like Spark, Delta Lake, and MLflow.

You will drive technical leadership across data engineering, analytics, and data science initiatives while collaborating with product and post-sales teams to deliver measurable results.

Qualifications

• 7+ years in a customer-facing pre-sales, technical architecture, or consulting role.
• Experience designing and architecting distributed data systems.
• Proficient in Python, Scala, Java, SQL, or R.
• Experience with AWS, Azure, or GCP.
• Data engineering tech such as Spark, Hadoop, Kafka.
• Data warehousing knowledge (SQL, OLTP/OLAP/DSS).
• Degree in a quantitative field (CS, Math, OR).

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 across developer communities through meetups, conferences, and webinars.
• Travel to customers in your region.

Skills

Distributed systems

Cloud architecture

Open-source tools

Programming: Python/Scala/Java/SQL

Pre-sales

Education

Quantitative degree

Tools

AWS

Azure

GCP

Spark

Hadoop

Kafka

Job description

Databricks Solutions Architects lead customer engagements, shaping architectures with our Unified Analytics Platform. You will partner with the sales team, guide customers through implementation, and become a trusted advisor by showcasing open-source projects like Spark, Delta Lake, and MLflow.

You will drive technical leadership across data engineering, analytics, and data science initiatives while collaborating with product and post-sales teams to deliver measurable results.