Snowflake Data Architect – Cortex AI

We are seeking a highly experienced Senior Snowflake Data Architect with strong expertise in enterprise data architecture, analytics, data modeling, and modern cloud data platforms. The ideal candidate will have hands-on experience with Snowflake, advanced SQL, dimensional data modeling, ELT pipelines, BI enablement, and enterprise data integration.

Experience with Snowflake Cortex AI and modern AI/ML capabilities within the Snowflake platform is highly desirable. The architect will work closely with technical leaders and engineering teams to design scalable, analytics-ready data solutions and support the onboarding of enterprise data sources and business domains into Snowflake.

Primary Responsibilities

• Serve as a senior technical subject matter expert for Snowflake data architecture and enterprise analytics platforms.
• Design scalable and secure Snowflake architectures aligned with enterprise data and analytics requirements.
• Lead the onboarding and integration of enterprise systems and business domains into Snowflake.
• Design analytics-ready data models, dimensional models, semantic layers, and reusable data structures.
• Develop and optimize SQL queries, data transformations, views, and data processing workflows.
• Design and support ELT-based data pipelines for ingestion and transformation of enterprise data.
• Enable data consumption and reporting through BI platforms such as Power BI and Sigma.
• Develop semantic views and curated datasets to support analytics, reporting, and self-service BI.
• Integrate data from enterprise SaaS applications and other operational data sources.
• Evaluate architectural options, identify technical risks, and communicate key trade-offs to senior technical stakeholders.
• Establish and promote data architecture, modeling, governance, and development standards.
• Collaborate with data engineers, BI developers, platform architects, application teams, and other technical stakeholders.
• Evaluate and support emerging Snowflake AI capabilities, including Snowflake Cortex, where applicable.
• Contribute to technical documentation, architecture diagrams, data models, standards, and implementation guidelines.

Required Qualifications

• 7–10 years of experience in data engineering, data architecture, analytics, or related disciplines.
• 3+ years of hands-on experience working with Snowflake in enterprise environments.
• Strong expertise in Snowflake architecture, SQL, and cloud data warehousing.
• Strong understanding of relational data warehouse concepts and modern data architecture.
• Proven experience designing dimensional data models and semantic data layers.
• Experience designing and supporting ELT-based data pipelines.
• Experience integrating enterprise applications and SaaS data sources into analytics platforms.
• Experience enabling BI and analytics platforms such as Power BI or Sigma.
• Strong understanding of data integration, transformation, data quality, and analytics enablement.
• Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Hands-on experience with Snowflake Cortex AI and related Snowflake AI/ML capabilities.
• Experience with Salesforce Data Cloud / Data 360 and Salesforce data models.
• Experience with enterprise-scale Snowflake implementations involving multiple teams and business domains.
• Knowledge of modern data governance, data security, and data management practices.
• Experience with Snowflake performance optimization and cost management.
• Familiarity with modern data engineering and orchestration tools.
• SnowPro Core, SnowPro Advanced Architect, or other relevant Snowflake certifications.