Principal Engineer (Data Analytics & Java)

4 Months ago • 10-12 Years

Data Analysis

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

Add these skills to join the top 1% applicants for this job

team-management

data-analytics

risk-management

risk-assessment

user-experience-ux

aws

elasticsearch

spark

java

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:

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.

Required Qualifications:

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.

Don’t meet every single qualification? Studies show people are hesitant to apply if they don’t meet all requirements listed in a job posting. Forcepoint is focused on building an inclusive and diverse workplace – so if there is something slightly different about your previous experience, but it otherwise aligns and you’re excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team. The policy of Forcepoint is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Forcepoint is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to recruiting@forcepoint.com. Applicants must have the right to work in the location to which you have applied.

Set alerts for more jobs like Principal Engineer (Data Analytics & Java)

Set alerts for new jobs by Forcepoint

Set alerts for new Data Analysis jobs in India

Set alerts for new jobs in India

Set alerts for Data Analysis (Remote) jobs