Director, Infrastructure Security Services
NBCUniversal
CloudCyber SecurityFirewalls
Senior Data Architect – Product Security
Red Hat
full-time
Posted on:
Location Type: Remote
Location: Remote • Massachusetts, North Carolina • 🇺🇸 United States
Visit company websiteSalary
💰 $106,910 - $176,470 per year
Job Level
Senior
Tech Stack
AWSAzureCloudElasticSearchETLGoogle Cloud PlatformHadoopJavaKafkaMongoDBMySQLNoSQLPostgresPythonScalaSparkSQLTableau
About the role
- 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.
Requirements
- 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.
Benefits
- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account - healthcare and dependent care
- Health Savings Account - high deductible medical plan
- Retirement 401(k) with employer match
- Paid time off and holidays
- Paid parental leave plans for all new parents
- Leave benefits including disability, paid family medical leave, and paid military leave
- Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architectureETLELTPythonSQLJavaScaladata modelingschema designbig data technologies
Soft skills
problem-solvinganalytical skillscommunication skillscollaborationproactive mindset
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