Solution Architect

Treasure AI

Treasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on through continuous, context-driven action. Furthermore, Treasure AI employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility.

As a Solution Architect at Treasure Data, you will take a leadership role in designing, implementing, and scaling customer data solutions for enterprise clients. You will translate complex business requirements into robust technical architectures, championing best practices for data integration, governance, analytics, and AI-powered personalization. Working closely with clients, internal teams, and technology partners, you will drive the successful adoption of Treasure Data’s platform while continuously innovating with AI and agent technologies.

• Lead technical discovery and architecture design sessions with enterprise customers, aligning solutions to key business goals and data strategies.
• Translate business and functional requirements into scalable technical architectures, integration flows, and implementation plans leveraging Treasure Data’s platform.
• Oversee and perform hands‑on configurations, customizations, and data pipeline development using Treasure Data tools (CDP, Data Workflows, Connectors, APIs).
• Advise clients on best practices for data ingestion, transformation, identity resolution, governance, and security - ensuring scalability, compliance, and performance.
• Build capability to architect and deploy AI/ML-driven use cases, such as advanced segmentation, predictions, customer journey orchestration, and personalized marketing.
• Serve as key technical liaison to client architects, IT, and business teams; offer deep expertise across martech/adtech, CDP, and cloud ecosystems.
• Collaborate closely with Engagement Managers, Solutions Consultants, and Data Engineers to ensure seamless solution delivery, high client satisfaction, and successful go-lives.
• Troubleshoot complex technical issues, diagnose data integration challenges, and recommend solutions to optimize performance and business value.
• Guide and review junior technical staff; participate in knowledge-sharing, documentation, and enablement both internally and with customers.
• Actively capture customer feedback and evolving requirements, helping to drive product roadmap and technical playbook improvements.
• Stay current on emerging data architecture and AI/agent technologies; proactively experiment and make recommendations for innovation.

• 5+ years of experience architecting and implementing large-scale data solutions, ideally in SaaS, martech/adtech, CDP, or enterprise cloud environments.
• Proven track record designing and deploying complex data architectures - including integrations, ETL/ELT data pipelines, APIs, and workflow automations.
• Strong hands‑on skills with data engineering tools (SQL, Python, JavaScript) and popular cloud platforms (AWS, GCP, Azure).
• Deep understanding of customer data models, data privacy/compliance standards (GDPR/CCPA), and identity resolution methodologies.
• Experience supporting enterprise use cases for segmentation, analytics, personalization, activation, and omnichannel orchestration.
• Demonstrated ability to communicate complex technical concepts to diverse audiences - comfortable guiding client engineers, business users, and executives.
• Track record working with cross‑functional project teams involving engagement managers, engineers, QA, and client stakeholders.
• Consultative mindset with proactive problem‑solving, critical thinking, and partnership skills.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.

• Certifications in cloud platforms (AWS, GCP, Azure), data engineering, or solution architecture.
• Experience integrating or deploying AI/ML models, LLMs, or AI agents into…