Are you driven by innovation and looking to thrive in a fast-paced, growing environment? Join us at Verint and be part of our dynamic team! Help us in reshaping the landscape of customer experience – where every interaction becomes an opportunity, and every insight drives meaningful change.
Verint are he trailblazers in customer experience intelligence! Revolutionizing the way organizations connect with their customers, we empower businesses to elevate every interaction to new heights. Our cutting-edge cloud platform, coupled with AI-driven analytics tools, unlocks the true essence of customer sentiment, turning data into actionable insights with lightning speed.
We are seeking a Principal Software Engineer to lead the architecture and development of our next-generation Business Intelligence and data platform. This role requires deep expertise in AWS, data management, full-stack development capabilities, and a proven track record of building enterprise-scale analytics solutions. As a Principal Engineer, you will be a technical leader and strategic advisor, driving architectural decisions that impact millions of users globally.
**Candidate must be located in Ontario or British Columbia.*
- Architect and develop large-scale, mission-critical BI and data platform solutions serving millions of users across the globe, leveraging AWS native technologies including Athena, Redshift, Glue, QuickSight, and S3.
- Lead the design and implementation of robust data pipelines, data lakes, and data warehouses using modern architectures (Iceberg, Parquet, columnar formats) to support real-time and batch analytics at scale.
- Drive technical strategy and architectural decisions for the BI platform, including data modeling, query optimization, performance tuning, and cost optimization across AWS services.
- Build and maintain sophisticated back-end services, ETL/ELT workflows, and front-end analytics applications using Python, SQL, React, and modern web technologies.
- Design and implement efficient data storage solutions across relational databases (Redshift, PostgreSQL) and non-relational databases (DynamoDB, S3), ensuring optimal performance and cost-efficiency.
- Develop and maintain REST APIs and event-driven architectures to enable seamless integration between data services, analytics tools, and customer-facing applications.
- Serve as the technical lead and mentor for engineering teams, conducting architecture reviews, code reviews, and providing guidance on complex technical challenges.
- Collaborate with cross-functional teams including data engineers, analytics engineers, product managers, and DevOps to deliver innovative BI solutions that drive business value.
- Champion engineering excellence by establishing best practices, design patterns, and coding standards for data-intensive applications.
- Lead Agile ceremonies, drive sprint planning, and ensure timely delivery of high-quality software solutions while maintaining technical debt at manageable levels.
- Evaluate and integrate emerging AWS services and open-source technologies to continuously improve platform capabilities and developer productivity.
- Troubleshoot and resolve complex performance issues in distributed data systems, optimizing query performance, data processing workflows, and infrastructure costs.
- Participate in strategic planning and roadmap development, translating business requirements into scalable technical solutions.
- Contribute to the team on-call rotation, providing expert-level support for production environments and mentoring team members on incident response.