Senior Ai Database Developers

• Senior Ai Database Developers (MS SQL Server) (Global – Remote)

Senior Ai Database Developers (MS SQL Server) (Global – Remote)

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• Global
• Full-time

Introduction

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Powerfront Inc. ( isn’t just another SaaS provider; we’re the architects of the INSIDE™ Ai Customer Visual Engagement Platform. An Ai powered solution used by most luxury brands allowing them to see their online world in real-time. We’re talking about live customer behavior tracking and the power to engage at the precise moment of impact. Forget static analytics—we’re revolutionizing customer interaction for industry titans like LV, Gucci, Ferrari, Cartier, Valentino, Staples, Rooms To Go and Lenovo.

We’re a global, fully remote team fueled by passion and a shared obsession with cutting-edge technology. We are fully committed to the future of Ai, with the majority of our development work focused on account Ai and intelligent customer engagement. We believe Ai is the foundation of modern customer experience and are dedicated to building solutions that leverage its full potential.We’re not just building software; we’re forging strategic partnerships that redefine customer engagement.

If you’re driven to tackle complex challenges, thrive in a dynamic, collaborative environment, and want to leave your mark on the next generation of e-commerce, Powerfront is your launchpad. This isn’t just a job; it’s a career-defining opportunity to be part of a team transforming how the world connects with brands.

We are seeking an experienced and skilled Senior MS SQL Server Database Developer with a focus on reporting within the Customer Service or Contact Center space. In this role, you will specialize in writing complex reporting queries, conducting data analysis, and optimizing database performance to support our customer service SaaS product. The ideal candidate will have deep expertise in MS SQL Server and experience working with customer service or contact center data, terminology, and metrics.

• Design and implement complex SQL queries and stored procedures to support reporting requirements and data analysis tasks specific to customer service and contact center operations.
• Collaborate with stakeholders to understand data and reporting needs within the context of customer service and translate them into efficient database queries.
• Analyze and optimize existing database queries to improve performance and support key metrics relevant to customer service, such as response times, call volumes, and customer satisfaction scores.
• Develop and maintain data models and database schemas that are tailored to the needs of customer service reporting.
• Monitor database performance and usage patterns, and implement tuning measures such as indexing and partitioning to support efficient reporting.
• Create and maintain ETL processes to extract, transform, and load data from various sources relevant to customer service operations into the SQL Server databases.
• Ensure data accuracy, integrity, and security through proper database design, data validation, and backup strategies, with a focus on customer service data.
• Troubleshoot and resolve database issues, including data corruption, connection problems, and performance bottlenecks, particularly as they relate to customer service data.
• Stay updated on the latest developments in MS SQL Server and customer service technologies, including new features and best practices, and incorporate them into your work.
• Provide technical guidance and mentorship to backend developers and analysts, sharing knowledge and best practices, particularly in the area of customer service reporting.
• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
• Proven experience as an MS SQL Server Developer, with a strong portfolio showcasing your work on complex reporting queries and data analysis within the customer service or contact center space.
• Expertise in writing and optimizing complex T-SQL queries, stored procedures, and functions, particularly as they relate to customer service reporting.
• In-depth knowledge of database design principles, data modeling, and normalization, with an emphasis on customer service data structures.
• Experience with performance tuning techniques, including indexing, partitioning, and query optimization for customer service data.
• Familiarity with ETL processes and tools, with the ability to create and maintain data pipelines for customer se