Lead Enterprise Applications Architect

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
12+ years of experience with end-to-end business processes, spanning Demand to Lead, Lead to Opportunity, Opportunity to Quote, Quote to Order, Order to Cash.
12+ years of experience in enterprise application architecture, system integration, and cloud-based solutions.
Deep expertise in Salesforce CRM, CPQ, and ERP systems, with a focus on designing, implementing, and optimizing end-to-end business processes that drive revenue operations, sales efficiency, and financial accuracy.
Strong knowledge of API management, microservices architecture, and middleware technologies.
Experience with Channel Partner Integration, including solutions for eCommerce, B2B transactions, and partner management with companies like Ingram.
Hands-on experience with automation, DevOps practices, and CI/CD pipelines.
Solid understanding of data architecture, security protocols, and compliance frameworks.
Proven ability to develop technology roadmaps, lead architectural governance, and influence executive decision-making.
Strong analytical, problem-solving, and communication skills.
Extensive experience in data warehouse architecture with a deep understanding of data modeling, ETL processes, and cloud-based data warehousing solutions.

Define and implement architectural standards and best practices for business applications to ensure scalability, security, and performance.
Design and architect solutions that enable seamless interoperability across Marketing, Sales, Customer Support, Customer Success, Billing, and Data Infrastructure systems.
Standardize and modernize the underlying systems supporting Demand-to-Lead, Lead-to-Opportunity, Opportunity-to-Quote, Quote-to-Order, and Order-to-Cash processes—ensuring operational efficiency, data integrity, and regulatory compliance across platforms.
Leverage automation to improve system efficiencies, enhance workflows, and drive operational excellence.
Assess emerging technologies, recommend solutions, and develop roadmaps for application modernization and digital transformation.
Design and implement scalable data warehouse architecture that supports enterprise-wide analytics, reporting, and business intelligence initiatives.
Ensure data integrity, security, and performance by defining best practices for ETL (Extract, Transform, Load) processes, data governance, and cloud-based data warehousing solutions.
Partner with IT, business stakeholders, and development teams to align technology solutions with business needs.
Identify bottlenecks, optimize system performance, and ensure solutions are designed for future growth.

No preferred qualifications provided.