Thales

1 week ago

Senior Engineering Manager, Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead the Data Platform group within Imperva’s Platform Engineering team, owning end-to-end delivery for pipelines, storage, and streaming infrastructure deployed on AWS. Guide architecture for scalable real-time and batch data processing, Kafka streaming, and Spark/Flink frameworks, while ensuring sound storage design across relational, NoSQL, and search systems. Drive reliability, observability, and cost improvements and help develop an AI agent for forensic data investigation.

Location: Israel

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Own end-to-end delivery for the data platform group, including roadmap, execution, and Agile/SAFe process.
•Hire, mentor, and grow a team of engineers.
•Guide architecture and technical direction for scalable data pipelines, streaming with Kafka, and processing frameworks like Spark/Flink.
•Oversee the platform’s AWS infrastructure and cloud architecture decisions.
•Drive reliability, observability, and cost efficiency, and guide development of an AI agent for forensic use cases including MCP tool design.

Key Requirements

•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 to guide technical decisions.
•Working knowledge of Java/Spring Boot, Kafka or similar, and Kubernetes.
•Solid experience with AWS.
•Familiarity with data storage technologies (PostgreSQL/RDS, OpenSearch/Elasticsearch, NoSQL) and AI agent architectures with MCP (Model Context Protocol) or similar standards.

Experience:10+ yearsCloud-nativeBackendData engineeringPlatform engineeringCybersecurityAWSAI

Skills:CommunicationMentoringJudgment under pressure

Tech Stack:AWSJavaSpring BootKafkaKubernetesSparkFlinkPostgreSQLRDSOpenSearchElasticsearchNoSQLPrestoAirflowMCPModel Context ProtocolAI agentsMLOpsObservability

Company Brief

Thales

Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Paris, France

Founded: 2000

Website LinkedIn

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Thales

1 week ago

Senior Engineering Manager, Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Israel

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Own end-to-end delivery for the data platform group, including roadmap, execution, and Agile/SAFe process.
•Hire, mentor, and grow a team of engineers.
•Guide architecture and technical direction for scalable data pipelines, streaming with Kafka, and processing frameworks like Spark/Flink.
•Oversee the platform’s AWS infrastructure and cloud architecture decisions.
•Drive reliability, observability, and cost efficiency, and guide development of an AI agent for forensic use cases including MCP tool design.

Key Requirements

•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 to guide technical decisions.
•Working knowledge of Java/Spring Boot, Kafka or similar, and Kubernetes.
•Solid experience with AWS.
•Familiarity with data storage technologies (PostgreSQL/RDS, OpenSearch/Elasticsearch, NoSQL) and AI agent architectures with MCP (Model Context Protocol) or similar standards.

Experience:10+ yearsCloud-nativeBackendData engineeringPlatform engineeringCybersecurityAWSAI

Skills:CommunicationMentoringJudgment under pressure

Tech Stack:AWSJavaSpring BootKafkaKubernetesSparkFlinkPostgreSQLRDSOpenSearchElasticsearchNoSQLPrestoAirflowMCPModel Context ProtocolAI agentsMLOpsObservability

Company Brief

Thales

Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Paris, France

Founded: 2000

Website LinkedIn