Remote Strategic Data Solutions Architect for AI & Big Data

Databricks Inc.; San Francisco (CA); Hybrid; USD 180,000 - 248,000; Full time

Job summary

Databricks Inc. is seeking a Strategic Solutions Architect to shape the future of the big data landscape for a global tech leader.

You will collaborate with data engineers and data scientists to design architectures using the Databricks platform and APIs, guiding top customers through best practices and implementation. You will work with sales to articulate value, run POCs across data engineering, ML, and analytics workflows, and promote Databricks open-source projects.

Qualifications

• 5+ years in data engineering, data science, technical architecture, or similar pre-sales/consulting role.
• Comfortable programming in Python and SQL.
• Built solutions with public cloud providers such as AWS, Azure, or GCP.
• Expertise in Spark, Hadoop, Kafka; or ML tools like pandas, scikit-learn, PyTorch, TensorFlow.

Responsibilities

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement POCs for strategic projects spanning data engineering, data science and ML, and validate integrations with cloud services and 3rd party apps.
• Collaborate with Solutions Architects to support customers and users.
• Promote and recruit contributors for Databricks open-source projects (Spark, Delta Lake, MLflow).

Skills

Python

SQL

Travel

Tools

Spark

Hadoop

Kafka

Pandas

scikit-learn

PyTorch

TensorFlow

AWS

Azure

GCP

Job description

Databricks Inc. is seeking a Strategic Solutions Architect to shape the future of the big data landscape for a global tech leader.

You will collaborate with data engineers and data scientists to design architectures using the Databricks platform and APIs, guiding top customers through best practices and implementation. You will work with sales to articulate value, run POCs across data engineering, ML, and analytics workflows, and promote Databricks open-source projects.