Role Description Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our clients to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact, touching billions of lives in the process. Visit us at UST.com. Summary UST is looking for a Senior Architect – Database & AI to lead database architecture and AI-driven data solutions across multiple enterprise projects. The ideal candidate will have deep expertise in data modeling, ETL/ELT pipelines, cloud data platforms, vector retrieval technologies, database performance optimization, and AI-assisted development. The Opportunity As a Senior Architect – Database & AI, you will be responsible for designing and governing scalable, secure, and high-performing data architectures that support advanced analytics and AI use cases. You will collaborate with architects, engineers, and business stakeholders to deliver robust data platforms and mentor teams on best practices. Key Roles & Responsibilities
• Lead database and AI data architecture across multiple projects and platforms.
• Design and review data models, database schemas, ETL/ELT pipelines, and retrieval architectures.
• Implement data security, availability, backup, recovery, and governance strategies.
• Drive AI-assisted development initiatives and embedding/vector retrieval implementations.
• Optimize SQL queries, database performance, and large-scale data processing workloads.
• Lead data migration, modernization, and cloud adoption initiatives.
• Mentor developers and data engineers on architecture best practices.
• Resolve complex data quality, scalability,



and performance challenges. What You Need
• 10+ years of experience in Database Architecture, Data Engineering, or Data Platform Development.
• Strong hands-on experience with relational databases, especially PostgreSQL.
• Proven experience in cloud-based data platforms and up-to-date data architectures.
• Expertise in ETL/ELT design, implementation, and optimization.
• Experience with AI/ML data platforms, vector databases, and retrieval systems.
• Strong analytical, troubleshooting, and leadership skills.
• Ability to work effectively with cross-functional and geographically distributed teams. Required Skills
• PostgreSQL and Advanced SQL Performance Tuning
• Amazon S3 and Amazon Athena
• ETL/ELT Pipeline Design and Optimization
• Data Migration and Modernization
• AI-Assisted Development
• Embeddings, Vector Search, and Retrieval-Augmented Generation (RAG)
• Database Security, Backup, Recovery, and High Availability
• Data Modeling and Architecture Governance Desired Skills
• AWS Data Lake Architecture
• Vector Databases (Pinecone, Weaviate, pgvector, Milvus)
• Python for Data Engineering and Automation
• Apache Airflow or Similar Orchestration Tools
• Generative AI and LLM-based Solutions
• Data Governance and Metadata Management Frameworks
• DevOps and CI/CD for Data Platforms Qualification
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• AWS Data Analytics, AWS Solutions Architect, or equivalent cloud certifications are preferred.
• Experience leading enterprise-scale data and AI transformation initiatives is highly desirable. Skills Amazon Athena, Amazon S3, Data Migration

📌 Lead II (Bengaluru)
🏢 UST
📍 Bengaluru