Role Overview

We are looking for a Snowflake Architect to design, implement, and optimize scalable data solutions using Snowflake’s cloud data platform. This role involves working closely with data engineers, analysts, and business stakeholders to build high-performance data architectures that support analytics, reporting, and advanced data use cases.

Key Responsibilities

- Design and implement end-to-end data architecture using Snowflake

- Develop and optimize data models (star schema, snowflake schema, etc.)

- Lead data migration projects from legacy systems to Snowflake

- Build and maintain ETL/ELT pipelines using tools like Informatica, Talend, or dbt

- Optimize Snowflake performance (query tuning, clustering, partitioning)

- Implement data governance, security, and access control strategies

- Integrate Snowflake with cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform

- Ensure data quality,



reliability, and scalability

- Collaborate with stakeholders to translate business requirements into technical solutions

- Provide technical leadership and mentor data engineering teams

Required Skills & Qualifications

- Solid experience with Snowflake architecture and implementation

- Expertise in SQL and data warehousing concepts

- Hands-on experience with ETL/ELT tools and frameworks

- Experience with cloud ecosystems (AWS, Azure, or GCP)

- Knowledge of data modeling techniques (dimensional modeling, normalization)

- Familiarity with scripting languages like Python or Java

- Understanding of data security and compliance best practices

- Experience with CI/CD and DevOps practices in data environments

📌 Lead Snowflake Engineer (Hyderabad)
🏢 Anblicks
📍 Hyderabad