Job description

Overview As a Senior Solutions Architect on the Digital Native team, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. Databricks' digital native customers are digital-first, cloud-native organizations that rely heavily on data and AI to drive their businesses at a global scale. These companies are typically at the forefront of innovation, leveraging AI and Advanced analytics to power their products and operations. They include some of the most recognized and disruptive names in technology and digital services such as Doordash, Rivian, and many more. Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. Responsibilities • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. • You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications • Collaborate with your fellow Solutions Architects, using your skills to support each other and our users • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What We Look For • 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 one of the following: Data Engineering technologies (Spark, Hadoop, Kafka) or Data Science and Machine Learning technologies (pandas, scikit-learn, pytorch, Tensorflow) • Available to travel to customers in your region • Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) is desired • Nice to have: Databricks Certification Benefits • Comprehensive health coverage including medical, dental, and vision • 401(k) Plan • Equity awards • Flexible time off • Paid parental leave • Family Planning • Gym reimbursement • Annual personal development fund • Employee Assistance Program (EAP) Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. • Zone 1 Pay Range — $137,400 — $192,300 USD • Zone 2 Pay Range — $137,400 — $192,300 USD • Zone 3 Pay Range — $137,400 — $192,300 USD • Zone 4 Pay Range — $137,400 — $192,300 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize…

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