Staff Cybersecurity Data Platform Engineer

Key Skills

Apache Kafka, Big Data Technology, Cybersecurity, Data Engineering, Data Lake, Databricks, Lakehouse, Operations, Planning and organization, PySpark, SPARK Programming

Job Description

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 position is $146,400 -- $275,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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