Solutions Architect

Summary

Join Databricks as a Solutions Architect and partner with customers to design scalable data architectures using Databricks technology. You will leverage your technical expertise and business acumen to drive complex technology discussions and establish yourself as a trusted advisor. Collaborate with sales and other teams to develop account strategies, build reference architectures, and present solutions to prospects. Capture technical wins by consulting on big data architectures and validating integrations. Promote Databricks' open-source projects within developer communities. This role requires 5+ years of experience in a customer-facing role with expertise in big data engineering, data warehousing, data science, or data applications. The position involves up to 30% travel.

Requirements

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with 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)
• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business
• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures
• Fluent in SQL and database technology
• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R

Responsibilities

• Partner with customers to design scalable data architectures using Databricks technology and services
• Drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle
• Engage with customers' technical leads, including architects, engineers, and operations teams
• Work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements
• Work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform
• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning
• Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases
• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars

Preferred Qualifications

• Built solutions with public cloud providers such as AWS, Azure, or GCP
• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

Benefits

Comprehensive benefits and perks