Lead Engineer

Role Summary

Catalyst Brands is seeking a Lead Engineer, Marketing Technology to design, build, and scale the next generation of customer engagement, loyalty, personalization, and marketing activation capabilities across our portfolio of iconic retail brands.

Overview

Lead Engineer Marketing Technology

Role Summary

Catalyst Brands is seeking a Lead Engineer, Marketing Technology to design, build, and scale the next generation of customer engagement, loyalty, personalization, and marketing activation capabilities across our portfolio of iconic retail brands.

This role sits at the intersection of engineering, customer data, marketing technology, and AI. You will lead the development of cloud-native solutions that enable Customer 360, Cross-Brand Loyalty, audience activation, real-time personalization, and data-driven marketing programs. Working closely with Product, Marketing, Data & Analytics, Architecture, and Platform Engineering teams, you will deliver scalable solutions that unlock customer insights and drive meaningful business outcomes.

The ideal candidate is a hands‑on engineer with deep expertise in marketing technology ecosystems, customer data flows, event-driven architecture, and modern cloud platforms. You are passionate about building platforms that transform customer experiences while maintaining the highest standards of performance, scalability, and reliability.

Key Responsibilities

Build and Scale Marketing Technology Platforms

• Design, develop, and support enterprise-scale Marketing Technology solutions across Customer Data Platforms, Loyalty Platforms, CRM systems, Personalization Engines, and Marketing Activation platforms.
• Develop scalable APIs, microservices, and integrations that enable seamless customer data exchange across enterprise systems.
• Build reusable services and capabilities that support audience segmentation, customer profile management, and campaign activation.

Develop Real-Time Customer Data Solutions

• Design and implement event-driven architectures leveraging Kafka to support real-time customer engagement, identity resolution, personalization, and marketing activation.
• Build highly scalable customer data pipelines that process customer interactions across digital, loyalty, store, and marketing channels.
• Partner with Data Engineering teams to ensure data quality, governance, and customer data availability across the ecosystem.

Cloud Engineering and Platform Modernization

• Design and deploy secure, scalable, and resilient solutions on AWS.
• Utilize AWS services to support customer data management, application integration, event streaming, analytics, and AI-driven marketing capabilities.
• Drive modernization initiatives that reduce technical debt and improve platform agility.

Enable Customer-Centric Experiences

• Partner with Marketing, Product, Analytics, and Business stakeholders to deliver personalization, customer engagement, and loyalty capabilities.
• Support Customer 360 and Cross-Brand Loyalty initiatives by integrating customer data across internal and third-party platforms.
• Translate business