Strategic Data & AI Solutions Architect (Remote)

WinsAbove; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 248,000; Full time

Job summary

Databricks is seeking a Strategic Solutions Architect to shape the big data landscape for a world-leading tech company. You will work with data engineering and data science teams to design architectures using our platform and APIs, guiding a major AI-native customer through best practices and implementations.

You will partner with the sales team, lead technical discussions, and drive proof-of-concept projects across data engineering, machine learning, and SQL analytics while championing

Qualifications

• 5+ years in data engineering, data science, technical architecture, or pre-sales/consulting.
• Experience building distributed data systems.
• Comfortable programming in Python and SQL.
• Built solutions with public cloud providers such as AWS, Azure, or GCP.
• Expertise in Data Engineering or Data Science technologies (e.g. Spark, Hadoop, Kafka).
• Willingness to travel to customers in your region.
• Degree in a quantitative discipline (CS, Applied Math, OR) preferred.
• Databricks Certification a plus.

Responsibilities

• Partner with the sales team to provide technical leadership on Databricks solutions.
• Consult on big data architectures and implement POCs across data engineering, data science, ML, and SQL workflows.
• Validate integrations with cloud services, home-grown tools, and 3rd party apps.
• Collaborate with Solutions Architects to support users and promote Databricks open-source projects.

Skills

Data engineering

Data science

Technical architecture

Pre-sales

Python

SQL

AWS

Azure

GCP

Education

Quantitative degree

Tools

Spark

Hadoop

Kafka

Pandas

Scikit-learn

PyTorch

TensorFlow

Job description

Databricks is seeking a Strategic Solutions Architect to shape the big data landscape for a world-leading tech company. You will work with data engineering and data science teams to design architectures using our platform and APIs, guiding a major AI-native customer through best practices and implementations.

You will partner with the sales team, lead technical discussions, and drive proof-of-concept projects across data engineering, machine learning, and SQL analytics while championing