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.

Requirements :

10+ years of hands-on engineering experience, including 5+ years managing engineering teams, ideally in a matrixed organization.

Strong background in Data Platform or Big Data engineering within a cloud-native, high-scale environment, with experience designing and operating large-scale, data-intensive systems.

Strong understanding of distributed systems and data platform concepts, including scalability, partitioning, consistency, fault tolerance, performance, and reliability.

Sufficient hands-on technical and coding depth to guide architecture, review designs and code, and troubleshoot complex production issues.

Working knowledge of Java/Spring Boot, Kafka or similar streaming technologies, and Kubernetes.

Solid experience with AWS/Azure/GCP and etc.

Strong experience with PostgreSQL/RDS, OpenSearch/Elasticsearch, and NoSQL databases, including the ability to evaluate architectural trade-offs.

Working knowledge of AI agent architectures and MCP (Model Context Protocol) or similar standards.

Strong communication skills and sound judgment under pressure

Advantages :

Observability tooling; MLOps exposure.

Hands-on experience building AI agents or MCP servers.

Thales, champions inclusion and we believe diversity strengthens the fabric of our culture. We are an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.