Snowflake Solution Architect

Job Title: Snowflake Architect (AI / Capital Markets) Location: Open / Hybrid / Onsite Experience: 10+ Years Job Summary We are seeking an experienced Snowflake Architect with expertise in Snowflake AI/Cortex capabilities to design and implement scalable cloud data platforms for Capital Markets clients. The ideal candidate will have hands-on experience with Snowflake Cortex AI (RAG, Semantic Search, and Multi-Agent Systems) , enterprise data architecture, and cloud-based analytics solutions. This role requires strong client-facing experience, excellent communication skills, and the ability to lead technical discussions, solution design, and delivery. Must-Have Skills 10+ years of experience in Data Engineering, Data Warehousing, and Cloud Data Platforms. Strong expertise in Snowflake Architecture, data modeling, performance tuning, security, and governance. Hands-on experience with Snowflake Cortex AI, including: Retrieval-Augmented Generation (RAG) Semantic Search Cortex Analyst Cortex Search Multi-Agent AI Systems LLM integration and AI-powered analytics Experience designing scalable ELT/ETL pipelines using Snowflake. Strong SQL and Snowflake Scripting skills. Experience in Capital Markets domain (Trading, Risk, Market Data, Securities, Asset Management, or Investment Banking). Strong understanding of cloud platforms (AWS or Azure). Experience with data governance, security, RBAC, masking policies, and data sharing. Excellent communication, stakeholder management, and client-facing consulting skills. Ability to lead architecture discussions, mentor teams, and drive solution delivery. Nice-to-Have Skills PostgreSQL Talend Azure or AWS Denodo Apache Iceberg Tables Experience migrating legacy databases such as Oracle and DB2 to Snowflake Snowpark (Python/Java) CI/CD, Terraform, GitHub Actions or Azure DevOps Knowledge of Data Mesh and Lakehouse architectures Key Responsibilities Design and implement enterprise-scale Snowflake data platform architectures. Build AI-powered data solutions using Snowflake Cortex AI, RAG pipelines, Semantic Search, and Multi-Agent frameworks. Develop secure, scalable, and high-performance Snowflake solutions for Capital Markets use cases. Lead migration projects from Oracle, DB2, and other legacy platforms to Snowflake. Design and optimize ELT pipelines using Talend and cloud-native technologies. Implement Snowflake best practices for performance optimization, security, governance, and cost management. Integrate Snowflake with cloud services, AI/ML platforms, APIs, and enterprise applications. Collaborate with business stakeholders to translate requirements into scalable technical solutions. Conduct architecture reviews, technical workshops, and client presentations. Mentor development teams and establish engineering best practices. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. SnowPro Advanced or SnowPro Architect certification preferred. Cloud certifications (AWS or Azure) are a plus. Experience delivering enterprise data modernization initiatives in Financial Services or Capital Markets environments. This role is ideal for a senior architect who combines deep Snowflake architecture expertise, AI-enabled data solutions using Snowflake Cortex, and Capital Markets domain knowledge with strong client engagement and leadership capabilities. #J-18808-Ljbffr DATAECONOMY