Lead Snowflake Engineer

Anblicks; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Anblicks is seeking a Snowflake Architect to design scalable data solutions on Snowflake’s cloud platform. You will collaborate with data engineers, analysts, and business stakeholders to build high-performance architectures that support analytics and reporting.

You will lead data modeling, migration from legacy systems, and ETL/ELT pipelines, while ensuring data quality, security, and governance across AWS/Azure/GCP integrations.

Qualifications

• Snowflake architecture and implementation experience.
• Strong SQL and data warehousing knowledge.
• Hands-on with ETL/ELT tools and frameworks.
• Experience with cloud ecosystems (AWS, Azure, or GCP).
• Knowledge of data modeling techniques (dimensional modeling, normalization).
• Familiarity with Python or Java scripting.
• Understanding of data security and compliance best practices.
• Experience with CI/CD and DevOps in data environments.

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 AWS, Azure, or GCP.
• Ensure data quality, reliability, and scalability.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Provide technical leadership and mentor data engineering teams.

Skills

Snowflake architecture

SQL

Data warehousing concepts

Python or Java

CI/CD & DevOps in data

Cloud ecosystems (AWS/Azure/GCP)

Data modeling techniques

ETL/ELT tools

Data security & compliance

Tools

ETL/ELT tooling experience

Job description

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

• Strong 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