Senior Principal Consultant- Snowflake Architect!?

Inviting applications for the role of Senior Principal Consultant- Snowflake Architect!

In this role, the Snowflake Architect is responsible for providing technical direction and lead a group of one or more developer to address a goal.

Responsibilities

Design and implement scalable data architectures on Snowflake to support advanced analytics and AI-driven use cases

Develop and optimize ETL / ELT pipelines using Snowflake-native tools such as Snow Pipe, Streamlit , and Tasks, as well as external orchestration tools like DBT and Airflow.

Integrate generative AI models and Cortex AI c apabilities into the Snowflake ecosystem to deliver intelligent, automated data products.

Utilize Python to build custom user-defined functions (UDFs), stored procedures, and machine learning pipelines within Snowflake.

Implement robust Role-Based Access Control (RBAC) strategies to ensure data security, privacy, and compliance across all environments.

Collaborate with data scientists and ML engineers to enable deployment, monitoring, and scaling of AI / ML models directly within Snowflake.

Incorporate structured, semi-structured, and unstructured data formats into the Snowflake data platform to support a wide range of use cases.

Architect data pipelines for real-time analytics, AI model training, and downstream application consumption.

Leverage Cortex AI functions for in-database inference, vector similarity search, and embedded large language model (LLM) functionality.

Continuously evaluate and implement new Snowflake features and ecosystem tools to improve performance and expand platform capabilities.

Ensure performance tuning, query optimization, and efficient warehouse utilization to meet SLAs and cost targets.

Document architecture decisions, data flow diagrams, and technical specifications to ensure transparency and maintainability.

Work closely with cloud teams to integrate Snowflake with cloud-native services across AWS, Azure, or GCP.

Support enterprise data governance initiatives by embedding auditing, lineage, and data cataloguing tools within the Snowflake environment.

Lead and mentor technical teams, ensuring best practices in Snowflake development, version control, and DevOps integration are followed.

Should have experience in DBT.

Must have Snowflake SnowPro Core or SnowPro Advanced Architect certification.

Good understanding of agile methodology

Good to have exposure to other databases such as Redshift, Databricks, SQL Server, Oracle, PostgreSQL etc.

Able to create POCs, roadmaps, solution architecture, estimations & implementation plan Experience for Snowflake integrations with other data processing.

Qualifications we seek in you!

Minimum qualifications

B.E. / Masters in Computer Science , Information technology, or Computer engineering or any equivalent degree with good IT experience and strong experience as a Snowflake Architect.

Skill Metrix :

Snowflake, Python, Gen AI, Horizon Catalog , Snowflake Cortex AI , AWS / Azure, Data Modeling , Design Patterns, DBT, ETL process and Data Warehousing concepts.