Principle Software Engineer, BI & Data Platform

Calabrio

5d

About The Position

Verint is a trailblazer in customer experience intelligence, revolutionizing how organizations connect with their customers. They empower businesses to elevate every interaction and turn data into actionable insights with AI-driven analytics tools and a cutting-edge cloud platform. This role is for a Principal Software Engineer to lead the architecture and development of their next-generation Business Intelligence and data platform. The position requires deep expertise in AWS, data management, full-stack development, and a proven track record of building enterprise-scale analytics solutions. The Principal Engineer will be a technical leader and strategic advisor, driving architectural decisions impacting millions of users globally. The candidate must be located in Ontario or British Columbia.

Requirements

• 10+ years of professional experience in software development, with at least 5 years focused on data engineering, business intelligence, or analytics platforms in enterprise SaaS environments.
• Deep expertise in AWS data and analytics services including Athena, Redshift, Glue, S3, QuickSight, Lake Formation, with hands-on experience architecting and operating production workloads.
• Advanced proficiency in Python for data processing, ETL/ELT development, and backend services, with strong knowledge of frameworks such as FastAPI, Flask, or similar.
• Expert-level SQL skills including complex query optimization, window functions, CTEs, and performance tuning across multiple database engines (Redshift, PostgreSQL, Athena).
• Strong full-stack development capabilities with proficiency in React, JavaScript/TypeScript, and modern front-end frameworks for building analytics dashboards and data visualization interfaces.
• Proven experience with Apache Iceberg, Parquet, or similar columnar formats and modern data lake architectures.
• Deep understanding of data modeling techniques for both OLTP and OLAP workloads, including dimensional modeling, star/snowflake schemas, and denormalization strategies.
• Strong, in-depth experience with AI coding assistants such as GitHub Copilot, Cursor, and Windsurf to accelerate development and improve code quality.
• Experience with both relational databases (Redshift, PostgreSQL, Aurora) and non-relational databases (DynamoDB, OpenSearch, DocumentDB).
• Demonstrated ability to design and implement scalable REST APIs, event-driven architectures (Lamda, EventBridge, SQS, SNS), and microservices patterns.
• Experience with AWS CDK (Cloud Development Kit) or CloudFormation/Terraform for infrastructure-as-code and automated deployment pipelines.
• Strong background in data pipeline orchestration using AWS Step Functions, Glue workflows, or similar tools.
• Proven track record of leading technical initiatives, mentoring senior engineers, and driving architectural decisions in complex distributed systems.
• Experience with CI/CD pipelines, automated testing frameworks (pytest, Playwright), and DevOps practices for data platforms.
• Excellent problem-solving skills with the ability to troubleshoot complex issues in large-scale, distributed data systems.
• Strong understanding of software development lifecycle (SDLC), Agile methodology, and experience leading technical teams through the full development lifecycle.
• Outstanding communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• Adaptable with the ability to switch technical stacks and domains to respond to changing customer and business needs while maintaining strategic focus.

Nice To Haves

• Experience with QuickSight embedding, dashboard development, and custom analytics solutions.
• Knowledge of data governance, security, and compliance requirements (GDPR, SOC2, etc.) in multi-tenant SaaS environments.
• Familiarity with machine learning workflows and integration of ML models into data pipelines.
• Experience with real-time streaming data processing using Kinesis, Kafka, or similar technologies.
• Contributions to open-source projects or technical thought leadership (blog posts, conference talks, patents).
• Experience with multi-cloud or hybrid cloud architectures.

Responsibilities

• 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.

Benefits

• Global team recognized for their passion and innovation
• Innovative product culture and project exposure
• Training and development from industry-leading experts
• Cutting edge benefit programs that include: medical and dental insurance, disability and life insurance, flexible PTO, paid holidays and parental leave, and more
• Market competitive pay and benefits based upon the candidate’s skills, experience, and qualifications.
• Comprehensive benefits for various life circumstances and needs
• Great opportunities for career development
• A balanced work-life to achieve personal and professional success (all benefits are subject to eligibility requirements).

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed