Snowflake Data Architect

Snowflake Data Architect Dallas, TX Key Responsibilities 1. To design and architect large-scale solutions, ensuring scalability, performance, and security. 1. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated. 1. To continuously upskill with cutting-edge tech to deliver high-quality, future-proof solutions meeting client expectations and industry standards. 1. To leverage domain/tech expertise to gather client needs, deliver solutions, and craft a technology strategy aligned with business goals. Key Responsibilities • Data Architecture & Strategy • Snowflake Solution Design • Data Engineering & Integration • Security & Governance • Performance & Cost Optimization • Analytics & AI Enablement Section Title: Skill Requirements Skill Requirements We are seeking an experienced Snowflake Data Architect to lead the design, implementation, and optimization of enterprise-scale cloud data platforms built on Snowflake. The ideal candidate will possess deep expertise in data architecture, cloud-native data warehousing, data modeling, governance, security, and modern data engineering practices. The architect will work closely with business stakeholders, data engineers, analytics teams, and enterprise architects to deliver scalable and secure data solutions. Required Skills Snowflake Expertise : Snowflake Architecture, Snowflake Data Cloud, Snowpipe, Streams & Tasks, Time Travel & Cloning, Secure Data Sharing, External Tables, Dynamic Tables AI : Snowflake Cortex (preferred) and AI Leadership Data Engineering : Advanced SQL, Python, DBT, ETL/ELT Frameworks, Data Modeling (Kimball, Data Vault, Dimensional Modeling) Cloud Platforms : AWS (S3, Lambda, Glue, Redshift, EventBridge) or Azure (ADF, ADLS, Synapse) Data Governance: Purview, Collibra, Alation, Atlan, Data Lineage, Metadata Management, Master Data Management DevOps & Automation : Git, CI/CD Pipelines, Terraform, Azure DevOps / GitHub Actions