Strategic Solutions Architect: Big Data & AI (Remote)

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

Job summary

Databricks, a leading Data & AI company, seeks a Strategic Solutions Architect to shape the big data landscape for a major global customer. You will collaborate with data engineering and data science teams, guiding architectures using our platform and APIs.

In this role you’ll partner with sales, lead technical discussions, and drive PoCs across data engineering, ML workflows, and SQL analyses. Travel to customer sites is expected.

Qualifications

• 5+ years in data engineering, data science, architecture or pre-sales/consulting.
• Experience building distributed data systems.
• Proficient in Python and SQL.
• Experience with AWS/Azure/GCP cloud services.
• Knowledge of Spark, Hadoop, Kafka or similar.
• Willing to travel to customer sites in your region.
• Degree in a quantitative field (CS, Math, OR) preferred.
• Databricks Certification is a plus.

Responsibilities

• Partner with sales to provide technical leadership.
• Consult on Big Data architectures and proofs of concept.
• Validate integrations with cloud services and tools.
• Collaborate with Solutions Architects and engineers.
• Promote Databricks open-source projects within the community.

Skills

Python

SQL

Distributed data systems

Public cloud (AWS/Azure/GCP)

Spark

Hadoop

Kafka

Pandas

scikit-learn

PyTorch

TensorFlow

Databricks Certification

Travel flexibility

Education

Bachelor's degree in Computer Science, Applied Mathematics, or Operations Research

Tools

Spark

Hadoop

Kafka

Job description

Databricks, a leading Data & AI company, seeks a Strategic Solutions Architect to shape the big data landscape for a major global customer. You will collaborate with data engineering and data science teams, guiding architectures using our platform and APIs.

In this role you’ll partner with sales, lead technical discussions, and drive PoCs across data engineering, ML workflows, and SQL analyses. Travel to customer sites is expected.