Senior Technical/Pre-Sales Architect (Cloud & Data Services)

What You ll Do

• Own architecture across Cloud, Data, Integration, and Fullstack systems with active hands-on coding and prototyping
• Drive pre-sales, solutioning, architecture workshops, and technical discovery conversations
• Build rapid AI-driven POCs and translate ideas into production-ready approaches
• Design and implement modern event-driven / event-oriented architectures using Kafka, AWS EventBridge, Azure Event Grid, or similar technologies
• Build scalable APIs and modern UI applications using React or Angular
• Design and implement modern distributed systems and cloud-native architectures
• Operate across multiple projects and customers with high flexibility and rapid context switching
• Collaborate closely with offshore teams and lead execution when needed
• Partner with business and technical stakeholders to align technology with measurable business outcomes

What You Bring

• 8+ years of experience in the software industry
• Strong pre-sales architect experience is mandatory
• Strong engineering foundation with Python (mandatory) and at least one additional programming language
• Proven hands-on development and architecture experience
• Strong UI development experience with React or Angular is mandatory
• Experience with Azure (preferred), Google Cloud Platform (preferred), or AWS
• Strong experience with event-driven systems such as Kafka, AWS EventBridge, Azure Event Grid, or similar platforms
• Strong understanding of APIs, microservices, and distributed system design
• Ability to rapidly switch context across domains, customers, and problem spaces
• Strong learning agility with ability to ramp up on new technologies quickly
• Proven track record of building prototypes and POCs in hours or days, not weeks
• Strong bias toward outcomes, ownership, and delivery impact
• Experience across the full services lifecycle from pre-sales to delivery
• Ability to validate, refine, and explain AI-generated solutions
• Strong communication, presentation, and customer-facing skills
• Ability to lead teams and drive execution when required

Nice to Have

• Exposure to Data Engineering, Spark, Databricks, or modern BI platforms
• Exposure to GenAI, Agentic AI, or AI orchestration systems
• Experience building accelerators, reusable frameworks, or internal innovation platforms