Senior Engineering Manager

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.

Your Opportunity:

• 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
• 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
• 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
• 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
• Establish monitoring solutions for data pipelines and infrastructure, ensuring high availability, performance, and security
• Proactively identify bottlenecks, optimize performance, and troubleshoot complex data issues

What You'll Need:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. A Master’s degree is a plus
• 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
• 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
• 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.

And Ideally:

• 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

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