Role Overview We're looking for a Senior Engineering Manager to lead our engineering organization across Data Engineering, SaaS platform development, enterprise integrations, DevOps, and Analytics/BI. You'll own technical direction and delivery outcomes, set architectural standards, and grow leads and engineers, while staying hands-on where it matters. Key Responsibilities Leadership & Delivery • Lead and mentor multi-disciplinary teams (Data, Backend/Full Stack, DevOps, BI), including engineering leads and managers. • Own engineering roadmaps, execution, and delivery quality in partnership with Product and Business. • Set standards for code quality, security, scalability, and operational excellence. • Run architecture and design reviews, and act as the technical anchor for complex decisions. • Hire, develop, and retain talent while building a culture of ownership and continuous learning. Data Platforms • Architect cloud-native data platforms: ETL/ELT and reverse ETL pipelines, ingestion frameworks, orchestration, data lakes, and warehouses. • Ensure data quality, governance, observability, and performance at scale, including real-time and distributed processing. • Enable analytics and BI teams with reliable, analytics-ready data. SaaS, Integrations & Connectors • Guide development of enterprise-grade, multi-tenant B2B SaaS platforms. • Lead API, iPaaS, and connector framework architecture for third-party systems (CRM, marketing, analytics, cloud services). • Ensure secure, high-performance interoperability across systems. Cloud & DevOps • Drive AWS architecture, cost optimization, and resiliency. • Mature CI/CD, infrastructure automation, observability, and DevSecOps practices across containerized, microservices, and event-driven environments. Application Engineering • Provide technical guidance on MERN-based applications, API-first design, and modular, event-driven architectures. Required Qualifications • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 14+ years in software engineering, including enterprise B2B SaaS, with 5+ years in engineering management or technical leadership (experience leading leads or managers preferred). • Deep hands-on expertise in Data Engineering and AWS cloud-native platforms. • Proven experience designing ETL/ELT pipelines, API integrations, connector frameworks, and distributed systems. • Strong understanding of iPaaS and enterprise integration architectures. • Working knowledge of the MERN stack, microservices, and event-driven systems. • Solid grounding in DevOps, CI/CD, and containerization, plus familiarity with BI and analytics ecosystems. • Strong architectural judgment, communication, and stakeholder management. Nice to Have • Experience with MCP or AI-enabled integration patterns. • Experience scaling engineering teams and setting engineering governance. About MADTECH.AI MADTECH.AI is the Decision Intelligence platform for mission-driven organizations and their partners. Eliminate the burden of data wrangling, model building, data visualization, and optimization in one cost-effective AI-powered hub. By delivering sharper, on-demand insights, predictions, recommendations, and proactive problem-solving, the platform reduces data complexity empowering clients to make smarter, data-driven decisions faster and more affordably. Headquartered in St. Petersburg, Florida, U.S.A. with global capability centers in Mysuru and Bengaluru, Karnataka, India, MADTECH.AI proudly offers platform support and Professional Services staffed with proven specialists who save clients money, time and achieve transparent, accountable performance while delivering extraordinary value.