Senior Data Architect - Product Security

About the Job
We are seeking a Senior Data Engineer to close a critical gap in our Product Security capabilities. Today, our security data is fragmented and inconsistent, limiting visibility, timely insights, and effective risk management. Previous efforts with Data Analysts and Data Scientists were insufficient—while those roles excel at interpreting or predicting from existing data, they do not provide the foundational engineering expertise required to consolidate, structure, and scale our data ecosystem.

This role is not an add-on to existing engineering responsibilities. It requires a dedicated expert to design, build, and maintain the data infrastructure that underpins security intelligence. By investing in a Data Engineer, we can transform scattered information into a unified platform that enables proactive, data-driven risk mitigation.

What You Will Do
As a Senior Data Engineer, you will design and implement the backbone of Product Security’s data ecosystem, with responsibilities including:

• Data Architecture & Blueprint – Define and implement the strategic vision for a secure, scalable, and reliable data architecture, including models, standards, and flows for ingesting, processing, and storing risk, vulnerability, and compliance data.

• Ontology & Standardization – Build a centralized data ontology, creating consistency and a shared language across all tools, systems, and teams.

• Pipeline Development – Design, optimize, and maintain complex ETL/ELT pipelines (Python, SQL, etc.) to consolidate data from diverse sources into warehouses, lakes, or analytics platforms.

• Automation & AI – Automate data flows end-to-end, incorporating intelligent automation and AI-driven solutions to improve efficiency and security operations.

• Governance & Optimization – Establish and enforce data governance practices, ensuring data quality, accuracy, compliance, and cost-efficient performance at scale.

• Insights & Reporting – Enable teams with BI tools (e.g., Tableau) to create dashboards, reports, and analytics that surface actionable insights and trends.

• Collaboration & Communication – Act as the bridge between Product Security teams, translating requirements into scalable solutions and ensuring alignment across stakeholders.

• Technology Evaluation – Assess and recommend emerging data and AI/ML technologies that can strengthen security data capabilities and enhance automation.

What You Will Bring

• Bachelor’s or Master’s in Computer Science, IT, Business Administration, or related field.

• 5+ years of experience as a Data Engineer or in a related role, with proven expertise in data pipeline development and architecture.

• Strong programming skills (Python, Java, Scala) and deep proficiency in SQL.

• Hands-on experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Elasticsearch).

• Expertise in building and optimizing ETL/ELT processes and data warehouses.

• Experience with big data technologies (Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, GCP) is highly desirable.

• Solid understanding of data modeling and schema design principles.

• Preferred experience with Tableau/CRMA analytics.

• Familiarity with version control systems (e.g., Git).

• Ability to analyze large, complex datasets and extract meaningful patterns and insights.

• Strong problem-solving, analytical, and communication skills, with the ability to simplify and explain technical concepts to varied audiences.

• Comfortable working in a fast-paced, globally distributed environment with minimal supervision.

• Proactive mindset, leveraging AI-assisted tools (e.g., code generation, auto-completion, intelligent suggestions) to accelerate development, improve quality, and enhance automation throughout the lifecycle.

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The salary range for this position is $106,910.00 - $176,470.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission,