Snowflake Senior Technical Specialist
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Job Description
- *Job Summary**
- --------------
- *Role: Snowflake Data Architect**
- *Job Summary:**
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**
- -----------------------
- 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**
- ---------------------
- *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**
- **Python**
- **DBT**
- **Snowflake**
- **MS SQL**
- *Must Have Skill**
- ------------------
Data Build Tool (DBT),MS SQL,Python,Snowflake
- *Good to Have Skill**
- ---------------------
- *Other Requirements**
- ---------------------
- *1\. Snowflake Snowpro Advanced Architect Certification (Optional But Valuable)**
- *2\. Dbt Certified Developer (Optional But Valuable)**
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Job Overview
- Job type
- Full-time
- Work mode
- On-site
- Location
- IN
- Posted
- 3d ago
- Source
- Indeed