Snowflake Architect

Hiring: Snowflake Solution Architect – Sales Planning & Financial Forecasting We are looking for a highly technical and hands-on Snowflake Solution Architect to lead the architecture and implementation of an enterprise Sales Planning and Financial Forecasting data platform. Location: Austin, TX Work Model: Onsite Position: Snowflake Solution Architect Role Overview The ideal candidate will have deep expertise in Snowflake architecture, cloud data platforms, data modeling, AI-enabled engineering, and enterprise solution design. You will be responsible for designing secure, scalable, high-performance, and cost-optimized Snowflake solutions supporting sales planning, FP&A, demand forecasting, financial forecasting, and scenario modeling. Key Responsibilities • Design enterprise-grade Snowflake architectures aligned with Snowflake Well-Architected Framework. • Architect ELT pipelines using Dynamic Tables, Streams, Tasks, Snowpark, and dbt. • Design data models using Kimball Dimensional Modeling and Data Vault 2.0. • Leverage Snowpark, Cortex AI, Cortex Search, Streamlit in Snowflake, and Snowflake CoCo for AI-enabled engineering and analytics. • Design solutions integrating platforms such as Oracle Demantra, Anaplan, Hyperion, SAP, and Salesforce. • Implement Snowflake security and governance using Horizon, RBAC, Row Access Policies, Dynamic Data Masking, and Tag-Based Masking. • Drive performance tuning, warehouse optimization, cost management, and Snowflake FinOps. • Provide architecture guidance, technical documentation, design reviews, and executive-level presentations. Required Skills • 5+ years of hands-on Snowflake architecture experience. • 10+ years of experience in data engineering, cloud platforms, enterprise architecture, or solution design. • Expertise in Snowpark using Python, Java, or Scala. • Strong experience with Dynamic Tables, Streams, Tasks, and event-driven pipelines. • Strong knowledge of Snowflake Cortex AI, Cortex Search, Streamlit, and Snowflake CoCo. • Advanced SQL and Python skills. • Strong experience with dbt, Data Vault 2.0, and Kimball dimensional modeling. • Experience with AWS, Azure, or GCP. • Strong understanding of Snowflake security, governance, performance tuning, and cost optimization. • Experience with financial planning, forecasting, FP&A, sales planning, demand forecasting, or related data platforms is highly desirable. • We are looking for someone who can take complex business requirements and translate them into scalable, secure, and production-ready Snowflake architectures. Interested candidates can share their updated resume at abhishek.singh@arkhyatech.com