Senior Engineering Manager, Data Platform

At Thales, we know technology has the ability to make our world more secure, sustainable, and inclusive – and that it’s all driven by human intelligence.

Because it takes human intelligence to build and power the systems and solutions that people depend on every day. So we stay curious and make space for diverse points of view. We share what we know and we challenge what’s possible.

We’re driving progress in some of the world’s most important industries - from the bottom of the oceans to the depths of space and cyberspace - and from manufacturing to engineering, we work together to build a future we can all trust.

Imperva, a Thales company, is a globally recognized cybersecurity leader, dedicated to securing data and applications across diverse environments. Our cutting-edge solutions empower organizations to safeguard their most critical assets, ensuring robust protection against emerging threats.

Imperva, a Thales company, protects the world's largest organizations from cyberattacks. Our Platform Engineering group builds the foundation and developer experience powering Imperva's application security products.

We're looking for a Senior Engineering Manager to lead our Data Platform group — owning the pipelines, storage, and streaming infrastructure, deployed on AWS, that power data-driven capabilities across the company, including an emerging AI agent for forensic data investigation.

Key Responsibilities:

• Own end-to-end delivery for the group — roadmap, execution, and Agile/SAFe process.
• Hire, mentor, and grow a team of engineers.
• Guide architecture and technical direction for scalable data pipelines (real-time and batch), streaming (Kafka), and processing frameworks (Spark/Flink).
• Oversee the platform's AWS infrastructure and cloud architecture decisions.
• Ensure sound data storage design across relational, NoSQL, and search systems.
• Drive improvements in reliability, observability, and cost efficiency.
• Guide the team's development of an AI agent for forensic use cases, including MCP tool design for safe, effective data access.
• Represent the group across a matrixed org and partner with product teams.
  
  

• 10+ years hands-on engineering experience, including 5+ years managing engineering teams, ideally in a matrixed org.
• Background in backend, data, or platform engineering in a cloud-native environment, with enough depth to guide technical decisions.
• Working knowledge of Java/Spring Boot, Kafka or similar, and Kubernetes.
• Solid experience with AWS, as the platform is deployed on AWS.
• Understanding of distributed systems concepts (scalability, fault tolerance, consistency).
• Familiarity with data storage tech (PostgreSQL/RDS, OpenSearch/Elasticsearch, NoSQL).
• Working knowledge of AI agent architectures and MCP (Model Context Protocol) or similar standards.
• Strong communication skills and sound judgment under pressure.
  
  

• Big data frameworks (Spark, Flink, Presto), orchestration tools (Airflow).
• Event-driven architecture and data modeling experience.
• Observability tooling; MLOps exposure.
• Multi-region/large-scale cloud experience.
• Hands-on experience building AI agents or MCP servers.