Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! As a Staff Cybersecurity Data Platform Engineer at Adobe, you will be joining a team responsible for enhancing the organization's security data platform. Our focus is on contributing to the organization by emphasizing real-world security and embracing automation, as well as optimizing data flow and consumption of the data to multiple teams within Security. The ideal candidate will help develop security-focused data platform needs and the scaling of a data lake spanning petabytes of data. The job involves system architecture, design, hands-on development, optimization, setting expectations and SLAs with a focus on reliability, availability, and performance. They must be self-directed and comfortable supporting the data needs of multiple security teams. The right candidate will be excited by the prospect of optimizing our company's data platform to support our next generation of security products and data initiatives. Key Responsibilities: Collaborate with partners, cybersecurity engineers, and operations teams across the security organization to drive the development of enterprise-scale security solutions. Work with enterprise architects team to ensure alignment with strategic objectives, and leverage design principles while providing input into program direction. Translate business needs into technical requirements, capabilities, and formulation of solutions, while identifying risks, dependencies, financial impacts, and the risk profile in the technical solution. Take a hands-on approach to driving proof-of-concept, design, and implementation activities from an architectural perspective. Develop and maintain solution architecture documents and other artifacts to guide the planning, design, and implementation of the proposed solution. Required Skills to be Successful: 7 years of experience in designing and building solutions in Databricks, across multiple clouds, using orchestration, data ingestion, medallion architectures, unity catalog, autoloader jobs, and Delta Lakehouse concepts. 10 years of experience working as either: Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and implementing/debugging Spark/PySpark and/or other big data solutions. 10 years of proficiency in developing or architecting modern distributed cloud architectures using AWS tools and technology. Design end-to-end robust, scalable, real-time data streaming (Kafka / Flink) and data platform architecture that will support the analytical and reporting needs of the entire organization. Offer technical expertise by collaborating with analysts and business users to translate diverse and intricate functional specifications into technical designs. Build data models and improve standard schemas across different data sources and normalize data. Significant experience in security, encompassing threat management, incident response, and enterprise security. Strong understanding of Security Operations Center (SOC) operations and security management workflows within large organizations. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $146,400 -- $275,000