• Partner with the sales team to help customers understand how Databricks can help solve their business problems • Provide technical leadership for customers to evaluate and adopt Databricks • Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications • Build and present references architectures, how-tos, and demo applications for customers • 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 • Travel to customers in your region

• Guiding an implementation for a CRM, CDP, and/or Marketing Automation system from beginning to end • Recognize opportunities and solutions to key business challenges through technology • Provide specifications and requirements for the internal technical team • Leading implementation projects and consistently communicating on project deliverables with clients • Acting as an SME (Subject Matter Expert) on certain sales presentations and standup meetings with clients • Marketing analytics and reporting support as needed

• Take full ownership of backend features and improvements, from design through implementation, deployment, and production support • Design, develop, and maintain scalable, high-performance backend services using Python and Django • Build and maintain integrations with external systems, including KYC, geolocation, and payment partners, and other third-party services • Work closely with product and engineering teams to scope and deliver new integrations • Implement observability across integration flows, including monitoring, logging, and alerting • Write unit and integration tests to ensure system reliability, prevent regressions, and improve overall test coverage and testing practices • Support production issues and participate in on-call rotations

• Design data engineering solutions for enterprise clients across a variety of MarTech and AdTech platforms • Plan how data needs to flow across each client’s MarTech stack so the data can be used in Polaris, our proprietary tech platform • Build data models using BigQuery and dbt, designing them for use across reporting, apps, and media forecasting • Create, maintain, and improve client reporting • Innovate on reporting offerings by designing data visualizations to answer critical business questions • Be embedded within the product development team, working with product managers to define requirements for our proprietary reporting platform