Solutions Architect - Emerging Enterprise

About Databricks and the Solutions Architect Role

At Databricks, customers challenge us to solve some of the world's toughest data problems. Our Solutions Architect team plays a crucial role in understanding the platform's technologies, the broader cloud and technology ecosystems, and how to integrate them to tackle these complex issues. As a Solutions Architect - Emerging Enterprise, you will drive the adoption of the Databricks Unified Analytics Platform.

You will deepen your expertise in open-source projects like Apache Spark™, MLflow, and Delta Lake, advocating for the Lakehouse paradigm on public cloud providers. This role offers the opportunity to become proficient in cloud platforms, data engineering, data analytics, data science, and machine learning. As a customer-facing professional, you will identify Databricks use cases, design architectural solutions, and guide customers through implementations to deliver significant business value. Collaborating closely with the sales team, you will build strong customer relationships and establish yourself as a trusted advisor.

Databricks' culture thrives on collaboration; you'll contribute your knowledge to internal teams through subject matter expert groups. This role reports to the Solutions Architect Leader within your specific business segment.

The Impact You Will Have

• Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks.
• Consult on big data architecture, implement proofs of concept for strategic customer projects, data science, and machine learning initiatives, and validate integrations with cloud services and other 3rd party applications.
• Build and present reference architectures, technical guides, and demo applications for customers.
• Provide escalated support for critical customer operational issues.
• Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark™, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars.
• Leverage your strengths to support fellow Solutions Architects and foster cross-functional relationships across the company.
• Travel to customers (up to 30%, with 80%+ local to your region).

What We Look For

Solutions Architects are primarily customer-facing roles. You should be adept at communicating complex ideas to diverse audiences through presentations, whiteboarding sessions, architecture discussions, and platform demonstrations.

• 3+ years in a customer-facing pre-sales, technical architecture, or consulting role.
• Experience designing and architecting distributed data systems.
• Proficiency in programming and debugging with at least one of Python, Scala, Java, SQL, or R.
• Proven ability to build solutions with public cloud providers such as AWS, Azure, or GCP.
• Experience in at least one of the following:
  • Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
  • Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
  • Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
• [Preferred] Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.).
• Nice to have: Databricks Certification.

Key skills/competency

• Data Engineering
• Cloud Architecture
• Apache Spark
• Machine Learning
• Solution Design
• Customer Engagement
• Technical Consulting
• Data Analytics
• Distributed Systems
• Pre-sales Support