Who is Tenable?
Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
As a Software Engineering Manager, Data Platform at Tenable, you will lead a team of experienced software engineers responsible for designing, developing, and optimizing large-scale data pipelines that underpin several of our customer-facing applications. You will play a critical role in building secure, scalable, and reliable data infrastructure to manage the growing data needs of our external customers. This is an excellent opportunity to contribute to the fight against cyber threats while ensuring best-in-class data practices are adhered to within the company.
Key Responsibilities:
Team Leadership & Management:
Lead, mentor, and manage a team of experienced software engineers to deliver a robust data platform.
Oversee team performance, setting clear objectives, conducting performance reviews, and providing feedback and development opportunities.
Foster a collaborative and innovative team culture focused on high-quality execution and continuous learning.
Data Modelling and Pipeline Development:
Design, build, and maintain scalable, secure, and high-performance data models to present data in real time sub-second response times.
Design, build, and maintain scalable, secure, and high-performance data pipelines to process the large volumes of cybersecurity data feeding the data models.
Ensure data pipelines and storage systems are designed for real-time processing, fault tolerance, and low latency.
Collaborate with our product and engineering teams to define data requirements, ensuring the architecture supports business objectives and customer needs.
Ensure data quality, consistency, and governance across all systems.
Technical Strategy & Architecture:
Develop and drive the long-term technical strategy for the data platform in alignment with business goals and customer needs.
Stay up-to-date with emerging technologies and industry best practices to continuously improve the data architecture.
Collaboration & Cross-Functional Work:
Work closely with Data Science, Machine Learning, and Security Engineering teams to support data-driven threat detection models and AI-based cybersecurity solutions.
Act as a bridge between technical teams and non-technical stakeholders, ensuring transparency and alignment of data initiatives with business objectives.
Monitoring & Performance Tuning:
Establish monitoring solutions for data pipelines and infrastructure, ensuring high availability, performance, and security.
Proactively identify bottlenecks, optimize performance, and troubleshoot complex data issues.
Required Qualifications:
Education:
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. A Master’s degree is a plus.
Experience:
5+ years of experience in data engineering, with at least 2 years in a leadership/management role.
Proven experience working with data architectures in large-scale, real-time data environments, preferably within cybersecurity or high-security industries.
Technical Skills:
Strong experience with data pipeline tools (e.g., Apache Kafka, Apache Spark, Airflow).
Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
Experience with cloud platforms such as AWS, Azure, or GCP and their data engineering services (e.g., Redshift, BigQuery, S3).
Knowledge of programming languages such as Python, Java, or Scala.
Experience modelling and documenting data
Leadership & Soft Skills:
Excellent leadership, communication, and interpersonal skills.
Ability to prioritize and manage multiple tasks and projects effectively.
Strong problem-solving and analytical thinking in complex technical environments.
Experience working in a fast-paced, collaborative, and agile environment.
Preferred Qualifications:
Prior experience in the cybersecurity industry.
Familiarity with machine learning models, data science workflows, and their application to cybersecurity.
Experience implementing data governance frameworks and best practices for data management.
Experience with cloud data warehouses.
Are you ready to join us in shaping the future of cybersecurity? Apply now!
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact [email protected] for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click here to review.
For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click here to review.
