Director of Engineering (Data Platform)

Join Vectra, a leading cybersecurity company, as the Director of Engineering for our Data Platform. In this role, you will lead the teams responsible for ingesting, processing, storing, and analyzing vast amounts of security telemetry. You will drive the platform's evolution to support modern AI workloads and next-generation analytics. This position requires strong organizational leadership skills, technical credibility, and the ability to align priorities across multiple teams. You will also be responsible for execution and operational excellence, technical strategy, and platform direction.

• Lead and mentor high-performing engineering teams across multiple geographies, fostering an inclusive culture built on trust, ownership, and accountability.
• Align priorities and investment decisions with Product, Security Research, AI, Infrastructure, and Customer teams, and communicate platform strategy to executive leadership.
• Drive the delivery of large-scale platform initiatives, balancing innovation, reliability, and speed, while setting engineering best practices across data processing.
• Experience building or operating platforms that support LLM-based applications, including retrieval, embeddings, and model serving
• Proven track record building and operating large-scale data platforms in production
• Experience with Databricks, including Spark-based processing and the Databricks platform ecosystem
• Operational mindset: SRE principles, incident response, and a culture of reliability
• 10+ years of software engineering experience, including 5+ years leading engineering organizations
• Champion the use of AI to improve engineering productivity, software delivery, and incident response
• Deep expertise across large-scale data infrastructure: distributed systems, data ingestion pipelines, stream and batch processing, and storage systems at scale including object stores, columnar databases, and time-series systems
• Experience running ML or AI workloads in production, including platforms, feature stores, or inference infrastructure
• Background in cybersecurity, NDR, SIEM, XDR, observability, or related domains
• Track record optimizing cloud costs and performance at scale on AWS, Azure, or GCP
• Background in real-time detection systems or streaming analytics