Snowflake Architect

Job Description :

We are looking for an experienced and highly skilled Snowflake Solution Architect to design, build, and manage large-scale cloud data platforms and enterprise data warehouse solutions.

The ideal candidate should possess strong expertise in Snowflake architecture, modern data engineering ecosystems, cloud-native platforms, orchestration frameworks, and scalable data pipeline development. The role requires strong technical leadership capabilities, architecture design expertise, and hands-on experience in building enterprise-grade analytics and data transformation platforms.

Candidates with exposure to AI/LLM ecosystems and modern AI frameworks will have an added advantage.

Key Responsibilities :

- Design and architect scalable Snowflake-based data warehouse and analytics solutions for enterprise environments.

- Lead end-to-end implementation of modern cloud data platforms, data lake architectures, and enterprise reporting ecosystems.

- Build, optimize, and manage large-scale data warehouses and cloud-native data transformation pipelines.

- Develop and implement scalable ELT/ETL workflows using DBT, Airflow, and modern orchestration frameworks.

- Collaborate with Data Engineering, Analytics, DevOps, and Business teams to design high-performance data solutions.

- Drive architecture decisions related to data modeling, storage optimization, compute management, security, governance, and scalability within Snowflake environments.

- Work on containerized and cloud-native deployment architectures using Docker and Kubernetes.

- Develop automation frameworks, monitoring strategies, and data platform optimization initiatives.

- Support enterprise data modernization and migration programs from legacy platforms to Snowflake ecosystems.

- Ensure performance tuning, query optimization, cost management, and operational efficiency of Snowflake environments.

- Participate in architecture reviews, technical governance discussions, and strategic platform initiatives.

- Mentor engineering teams and establish best practices across cloud data engineering and analytics ecosystems.

Required Skills :

- Strong expertise in Snowflake Solution Architecture and enterprise data warehousing.

- Hands-on experience building and managing large-scale data warehouse platforms.

- Strong expertise in DBT, Apache Airflow, Kubernetes, Docker, and Python.

- Strong understanding of cloud-native data engineering and modern analytics architectures.

- Experience in data modeling, ELT/ETL pipeline design, orchestration, and workflow automation.

- Strong performance tuning, troubleshooting, and optimization capabilities.

- Excellent stakeholder management and technical leadership skills.

Preferred Skills :

- Exposure to AI/LLM ecosystems and frameworks such as LangChain, LangGraph, or related AI technologies.

- Experience with modern Data Lake, Lakehouse, and cloud analytics platforms.

- Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation.

- Exposure to AWS, Azure, or GCP cloud platforms preferred.

Desired Candidate Profile :

- Strong experience in enterprise-scale cloud data transformation initiatives.

- Ability to lead architecture discussions and drive scalable data platform strategies.

- Strong analytical, problem-solving, and communication skills.

- Experience working in fast-paced and large-scale enterprise environments.

- Ability to mentor teams and drive technical excellence across projects.