Senior Snowflake Technical Lead / Architect

Responsibilities

• Design, develop, and optimize complex Snowflake solutions.
• Lead Snowflake platform architecture, governance, security, and AI adoption initiatives.
• Architect large-scale data ingestion and integration solutions across internal and external systems.
• Design and maintain data lakes, data warehouses, and scalable enterprise data models.
• Ensure compliance with PII, GDPR, PIPL, and CCPA requirements.
• Develop platform analytics, performance analytics, and executive reporting capabilities.
• Leverage Snowflake Intelligence, Cortex AI, Streamlit, and emerging Snowflake technologies.
• Define technical standards, reference architectures, and engineering best practices.
• Partner with Product, Security, Architecture, and Operations teams to deliver strategic solutions.
• Mentor engineers through design reviews, code reviews, and technical leadership.
• Drive troubleshooting, root cause analysis, performance optimization, and platform reliability efforts.

Requirements

• 7+ years of software engineering experience.
• 3–5+ years of hands-on Snowflake development and architecture experience.
• Proficiency with Snowflake, SQL, JavaScript, Snowflake Scripting, Snowpark, Snowpipe, and Python.
• Experience building and maintaining CI/CD pipelines.
• Expertise in Data Warehousing and Medallion Data Lake architectures.
• Experience with data governance, security, disaster recovery, and monitoring.
• Experience with REST APIs, web services, and event-driven integrations.
• Experience in Agile environments and large enterprise organizations.
• Snowflake certifications such as SnowPro Core and SnowPro Advanced Data Engineer preferred.
• Nice to have: Databricks, Azure Synapse, additional SnowPro certifications, platform analytics and cost optimization, C#/.NET, and experience with very large-scale datasets.