Provide high-level architectural direction
Address sophisticated technical challenges
Partner with customers to design scalable data architectures using Databricks technology and services
Drive complex technology discussions to express the value of the Databricks platform throughout the sales lifecycle
Engage with customers' technical leads to establish yourself as a trusted advisor
Responsible for the end-to-end architecture of solutions centered around the Databricks Lakehouse Architecture
Define platform architecture documentation, data pipelines design, and hands-on sophisticated development
Implement technical solutions for enterprise systems
Support account strategies and play a senior pre-sales engineer role
Build demo applications for prospects
Work with Data Scientists and ML Developers to support the development of AI and GenAI solutions
Conduct in-depth Databricks specific code reviews
Participate in the continuous improvement of Databricks products

5+ years in a customer-facing pre-sales, technical architecture, or consulting role
Expertise in at least one of the following technologies: Big data engineering (Ex: Spark, Hadoop, Kafka); Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS); Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO); Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
3+ years of working directly with Databricks
At least one Databricks certification at the professional level
Experience translating a customer's business needs to technology solutions
Experienced at designing, architecting, and presenting data systems for customers
Fluent in SQL and database technology
Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
Working knowledge of the hyperscaler technologies like AWS, Azure and GCP
A degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) would be highly desirable.
Excellent written and verbal communication skills for diverse audiences
Problem-solving abilities with a focus on customer-centric solutions
Strong project management skills with attention to deadlines and quality
A customer-first mindset to align solutions with business goals
Meticulous attention to detail in documentation and solution delivery.

Databricks Solution Architect

Key skills