Sr. Solutions Architect - Digital Native Business, Strategics

Stack

Responsibilities

• ▹Partner with the sales team and provide technical leadership to help customers solve business problems with Databricks
• ▹Lead technical discovery and design architectures
• ▹Implement proof of concepts for strategic projects spanning data engineering, data science/ML and SQL analysis workflows
• ▹Help customers build solutions that integrate with cloud services, home-grown tools and other third-party applications
• ▹Act as a strategic technical advisor to help customers drive business outcomes
• ▹Collaborate with fellow Solutions Architects to support each other and users
• ▹Become an expert in, promote, and recruit contributors for Databricks-inspired open source projects (Spark, Delta Lake, MLflow, Omnigent)

Requirements

• ▹7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• ▹Experience building distributed data systems
• ▹Comfortable programming in and debugging Python and SQL
• ▹Have built solutions with public cloud providers such as AWS, Azure, or GCP
• ▹Expertise in data engineering technologies (e.g. Spark, Hadoop, Kafka) OR data science/ML technologies (e.g. pandas, scikit-learn, PyTorch, TensorFlow)
• ▹Available to travel to customers in the region

Nice to have

• ▹Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• ▹Databricks Certification

Soft skills

What we offer

• ▹Local pay range: $219,100 - $301,300 USD
• ▹Eligibility for annual performance bonus
• ▹Equity
• ▹Remote (Pacific Time preferred; Mountain Time considered)

About the company

Databricks is the data and AI company: its Data Intelligence Platform is used by 10,000+ organizations worldwide (including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500). Headquartered in San Francisco, it was founded by the original creators of Apache Spark, Delta Lake and MLflow.