Associate Principal - Architecture

Location: Bengaluru

Experience: 11–15 Years

About The Role

We are seeking a senior Data Architecture professional with extensive experience designing and implementing scalable data platforms. The role focuses on Snowflake, Data Lakehouse Architecture, Medallion Architecture, dbt, SQL, and Apache Airflow, with AWS-based data infrastructure. The position requires strong engineering practices around data pipelines, orchestration, version control, and CI/CD.

Job Description

The role involves designing and implementing scalable data platforms capable of supporting high-concurrency workloads using Snowflake and elastic compute. The architect will develop reusable data products using Medallion Architecture, following Bronze, Silver, and Gold layers to support high-quality and maintainable data solutions.

The position requires advanced SQL and dbt expertise, including parameterized models using Jinja, along with production-grade Apache Airflow DAGs developed in Python. The role also involves using AWS S3 for secure and scalable data storage and integration with Snowflake stages.

The candidate will apply Data-as-Code principles across source control, pipeline optimization, and data platform operations. Experience with Bitbucket and Jenkins is required to support source code management and CI/CD practices.

Key Responsibilities

• Design and implement scalable data platform and lakehouse architectures.
• Develop high-concurrency data solutions using Snowflake and elastic compute.
• Implement Bronze, Silver, and Gold Medallion Architecture for reusable data products.
• Develop modular and maintainable transformations using advanced SQL and dbt.
• Build production-grade, event-driven Python DAGs with Apache Airflow.
• Implement AWS S3 as a secure storage layer and integrate it with Snowflake stages.
• Apply Data-as-Code principles, version control, and pipeline optimization.
• Support CI/CD and source code management using Jenkins and Bitbucket.
  
  
  

Required Skills

• Data Architecture and Data Lakehouse Architecture.
• Snowflake for scalable, high-concurrency workloads.
• Medallion Architecture – Bronze, Silver, and Gold layers.
• Advanced SQL and dbt, including Jinja-based parameterized models.
• Apache Airflow and Python DAG development.
• AWS S3 and Snowflake data integration.
• Bitbucket and Jenkins CI/CD.
• Data-as-Code principles, version control, and pipeline optimization.
  
  
  

Mandatory Skills

• Data Architecture
• Data Lakehouse Architecture
• Snowflake AI/ML
• Snowflake – Data Science
  
  
  

Candidate Profile

The ideal candidate will have 11–15 years of experience in data architecture and scalable data platform engineering, with strong expertise in Snowflake, lakehouse architecture, SQL/dbt, and Airflow. The candidate should be experienced in applying modern engineering and CI/CD practices to build reliable and maintainable data platforms.

Benefits Package

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• The opportunity to work on exciting and challenging projects with leading clients