Principal Engineer (Data Analytics & Java)
Job Summary
Job Description
The Principal Engineer will lead Risk Analytics, Digital Experience Monitoring (DEM), and Data Engineering initiatives. This role involves designing scalable data solutions for risk intelligence, operational efficiency, and digital experience monitoring. Key responsibilities include leading the design and development of Risk Analytics and DEM solutions, architecting and optimizing scalable data pipelines, developing real-time and batch processing applications using Golang and Java, implementing observability and monitoring frameworks, collaborating with various teams to develop data-driven frameworks, ensuring data compliance, security, and governance, optimizing data ingestion, storage, and retrieval mechanisms, conducting technical mentorship, and staying ahead of emerging trends. The ideal candidate should have deep understanding of data analytics, system observability, risk management solutions, and backend engineering.
Must have:
- Expertise in Golang and Java for backend development
- Strong hands-on experience with AWS cloud services
- Experience in Digital Experience Monitoring
- Knowledge of big data processing frameworks
- Proven experience in risk analytics, compliance monitoring, or fraud detection
9 skills required
Job Details
Who is Forcepoint?
Forcepoint simplifies security for global businesses and governments. Forcepoint’s all-in-one, truly cloud-native platform makes it easy to adopt Zero Trust and prevent the theft or loss of sensitive data and intellectual property no matter where people are working. 20+ years in business. 2.7k employees. 150 countries. 11k+ customers. 300+ patents. If our mission excites you, you’re in the right place; we want you to bring your own energy to help us create a safer world. All we’re missing is you!
Principal Engineer – Risk Analytics, Digital Experience Monitoring (DEM) & Data Engineering
Location: Mumbai (Preferred)
Experience: 10-12 years Job Summary: We are looking for an experienced Principal Engineer to lead Risk Analytics, Digital Experience Monitoring (DEM), and Data Engineering initiatives. This role requires a deep understanding of data analytics, system observability, risk management solutions, and backend engineering. The ideal candidate should have strong expertise in Golang, Java, AWS cloud services (Kinesis, Redshift, Elasticsearch), and exposure to DEM tools. The candidate will play a strategic role in designing scalable data solutions that drive risk intelligence, operational efficiency, and digital experience monitoring. Key Responsibilities:
Experience: 10-12 years Job Summary: We are looking for an experienced Principal Engineer to lead Risk Analytics, Digital Experience Monitoring (DEM), and Data Engineering initiatives. This role requires a deep understanding of data analytics, system observability, risk management solutions, and backend engineering. The ideal candidate should have strong expertise in Golang, Java, AWS cloud services (Kinesis, Redshift, Elasticsearch), and exposure to DEM tools. The candidate will play a strategic role in designing scalable data solutions that drive risk intelligence, operational efficiency, and digital experience monitoring. Key Responsibilities:
- Lead the design and development of Risk Analytics and DEM solutions to monitor system performance, user experience, and operational risks.
- Architect and optimize scalable data pipelines and analytics applications leveraging AWS services (Kafka, Redshift, Elasticsearch, S3, Lambda, etc.).
- Develop real-time and batch processing applications using Golang and Java to support risk assessment and predictive analytics.
- Implement observability and monitoring frameworks to enhance system resilience.
- Collaborate with data scientists, risk analysts, and engineering teams to develop data-driven decision-making frameworks.
- Ensure data compliance, security, and governance across all analytics platforms.
- Optimize data ingestion, storage, and retrieval mechanisms for high availability and low-latency insights.
- Conduct technical mentorship to improve engineering best practices.
- Stay ahead of emerging trends in risk analytics, AI/ML-driven monitoring, and cloud-native solutions.
- 12+ years of experience in software development, data analytics, risk intelligence, and monitoring solutions.
- Expertise in Golang and Java for backend development and data processing.
- Strong hands-on experience with AWS cloud services (Kafka, Redshift, Elasticsearch, Glue, S3, Lambda).
- Experience in Digital Experience Monitoring.
- Knowledge of big data processing frameworks (Spark, Flink).
- Proven experience in risk analytics, compliance monitoring, or fraud detection.
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About The Company
Forcepoint simplifies security for global businesses and governments. Forcepoint’s all-in-one, truly cloud-native platform makes it easy to adopt Zero Trust and prevent the theft or loss of sensitive data and intellectual property no matter where people are working. Based in Austin, Texas, Forcepoint creates safe, trusted environments for customers and their employees in more than 150 countries.
For more about Forcepoint, visit www.Forcepoint.com and follow us on Twitter at @ForcepointSec.
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