Top Tech Jobs & Startup Jobs in Seattle, WA

As the Staff Product Manager for Next Gen Analytics at Databricks, you will lead efforts to simplify the use of the Lakehouse for non-technical users, develop product strategies, define roadmaps, and collaborate with engineering teams to deliver impactful products while engaging enterprise customers.

As a Staff Product Manager for Security at Databricks, you will lead data security initiatives for the Lakehouse platform, drive product strategy for compliance and security features, partner with various teams, and create effective security models to ensure user confidence and regulatory compliance.

As a Staff Software Engineer, you will develop innovative distributed data storage and processing systems. You will work with technologies like Apache Spark and Delta Lake to enhance data analysis capabilities and improve performance in various workloads such as ETL and data science.

As a Delivery Solutions Architect at Databricks, you will enhance customer success by driving growth in assigned accounts. You'll lead post-sale technical strategies, engage with customers to maximize their use of Databricks products, and act as a liaison between customer needs and Databricks teams to ensure smooth onboarding and production use cases are met.

As a Sr. Product Manager at Databricks, you will own the model training product and business roadmap. Your role involves customer interviews, data analysis, and market research to inform product feature design, collaborating with engineers to drive product innovation and work with sales leaders on go-to-market strategies.

As a Resident Solutions Architect, you will engage with clients on big data challenges using the Databricks platform, managing technical projects, consulting on design, and providing escalated support. You will collaborate with various teams to ensure successful project delivery and customer satisfaction.

In this role, you will guide customers in building big data solutions on Databricks, provide technical leadership for big data projects, architect data pipelines, and become a technical expert in data lake technology and ingestion workflows. You will also mentor others and contribute to the Databricks Community.