Snowflake Data Architect

• *Job Summary**
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We are seeking a seasoned **Snowflake Data Architect** to lead the design and implementation of modern, scalable data platforms. The role demands strong expertise across **Snowflake, DBT, Python, MS SQL**, and **cloud data engineering**, along with exposure to **Snowflake Cortex and AI\-driven data capabilities**. You will drive architecture decisions, mentor teams, and enable data\-driven transformation across the enterprise.

• *Key Responsibilities**
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### **Key Responsibilities**

• Architect and design **modern data platforms** using **Snowflake** on cloud (AWS/Azure/GCP).
• Define and implement **end\-to\-end data pipelines** utilizing **DBT, Python, and SQL\-based transformations**.
• Lead **data modeling strategy** (dimensional, data vault, and lakehouse patterns).
• Drive **cloud data engineering best practices**, including ingestion, transformation, orchestration, and performance optimization.
• Leverage **Snowflake Cortex / AI capabilities** for advanced analytics and intelligent data solutions.
• Ensure **data governance, security, and compliance** across platforms.
• Collaborate with business stakeholders to translate requirements into scalable data solutions.
• Mentor and guide engineering teams; ensure delivery quality and adherence to standards.
• Optimize cost, performance, and scalability of Snowflake workloads.

• *Skill Requirements**
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### **Required Skills \& Experience**

• Strong experience in **Snowflake Architecture \& Implementation**.
• Hands\-on expertise in:

+ **DBT (Data Build Tool)** – modeling, testing, deployment

+ **Python** – data processing, automation

+ **MS SQL / Advanced SQL** – query optimization, warehousing

• Solid foundation in **Cloud Data Engineering (AWS/Azure/GCP)**.
• Experience in building **modern data platforms** (lakehouse / data warehouse architectures).
• Exposure to **Snowflake Cortex / AI/ML integration** is highly preferred.
• Strong understanding of **ETL/ELT frameworks, orchestration tools**, and CI/CD pipelines.
• Expertise in **data modeling, partitioning, clustering, and performance tuning**.

### **Leadership \& Stakeholder Skills**

• Proven ability to **lead architecture discussions and design reviews**.
• Strong stakeholder management and **business communication skills**.
• Experience in mentoring teams and driving **technical excellence**.
• Ability to work in a fast\-paced, outcome\-driven environment.

### **Nice to Have**

• Experience with **data governance tools** (Collibra, Alation).
• Exposure to **real\-time data streaming (Kafka, etc.)**.
• Certifications in **Snowflake / Cloud platforms**.

• *Must Have Skill**
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Data Build Tool (DBT),MS SQL,Python,Snowflake

• *Good to Have Skill**
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• *Other Requirements**
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1\. Snowflake Snowpro Advanced Architect Certification (Optional But Valuable)

2\. Dbt Certified Developer (Optional But Valuable