Associate Principal - Architecture

Vivantify Technology Solutions India Pvt. Ltd.; Bengaluru; On-site; INR 5,000,000 - 9,000,000; Full time

Job summary

Vivantify Technology Solutions India Pvt. Ltd. Bengaluru seeks a Senior Data Architecture expert to design scalable data platforms using Snowflake and lakehouse patterns. You will implement Medallion architectures across Bronze, Silver, and Gold layers, with strong SQL/dbt and Airflow experience.

The role emphasizes AWS-based data infrastructure, Data-as-Code practices, and CI/CD with Bitbucket/Jenkins for robust pipelines and collaboration.

Qualifications

• Experience designing and implementing scalable data platforms.
• Strong expertise in Snowflake and lakehouse architectures.
• Proficient with Medallion Architecture (Bronze, Silver, Gold).
• Advanced SQL and dbt, including Jinja parameterized models.
• Production-grade Apache Airflow DAGs in Python.
• AWS S3 integration with Snowflake stages.
• Knowledge of Data-as-Code, version control and CI/CD.

Responsibilities

• Design 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 transformations using advanced SQL and dbt.
• Build production-grade, event-driven Python DAGs with Apache Airflow.
• Integrate AWS S3 with Snowflake stages for secure storage.
• Apply Data-as-Code principles, version control, and pipeline optimization.
• Support CI/CD and source code management using Jenkins and Bitbucket.

Skills

Data Architecture

Data Lakehouse Architecture

Snowflake

Medallion Architecture

SQL

dbt

Apache Airflow

Python

AWS

Bitbucket

Jenkins

Data-as-Code

Tools

Bitbucket

Jenkins

Airflow

Snowflake

dbt

Job description

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.

Location: Bengaluru

Experience: 11–15 Years

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