Snowflake Lead

Code1 Tech Systems; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Code1 Tech Systems in Bengaluru is seeking an experienced Lead Data Engineer with strong Snowflake and dbt expertise to design scalable data solutions for enterprise platforms. You will mentor engineers, drive best practices, and partner with data architects, analysts, and stakeholders to deliver high-quality pipelines, governance, and cost-efficient cloud workloads.

The role requires 8-12 years in data engineering with 3-4 years in a lead role.

Qualifications

• 8-12 years of total Data Engineering experience.
• 3-4 years in a lead role.
• Strong hands-on Snowflake experience (modeling, performance, security, cost management).
• Proficiency in dbt (models, testing, deployment).
• Solid Python programming for data processing and automation.
• Experience with workflow orchestration tools such as Apache Airflow.
• Exposure to ELT/ETL tools like Fivetran.
• Strong understanding of modern data warehouse architectures, governance, and cloud-native environments.

Responsibilities

• Lead design, development, and optimization of data pipelines and data warehouse solutions on Snowflake.
• Develop and maintain dbt models for data transformation, testing, and documentation.
• Collaborate with cross-functional teams including data architects, analysts, and business stakeholders to deliver robust data solutions.
• Ensure high standards of data quality, governance, and security across pipelines and platforms.
• Leverage Airflow (or other orchestration tools) to schedule and monitor workflows.
• Integrate data from multiple sources using tools like Fivetran.
• Provide technical leadership, mentoring, and guidance to junior engineers in the team.
• Optimize costs, performance, and scalability of cloud-based data environments.
• Contribute to architectural decisions, code reviews, and best practices.

Skills

Leadership

Mentoring

Communication

Problem-solving

Tools

Snowflake

dbt

Apache Airflow

Fivetran

Python

Job description

At Code1 Tech, we drive innovations that shape the future of enterprise technology. Our expertise spans Data Engineering, AI/ML, Cloud Solutions, and Full-Stack Development. We empower businesses with cutting-edge technology solutions, enabling digital transformation at scale. Join us to build impactful products with a passionate team of engineers and innovators.

About The Role

We are seeking an experienced Lead Data Engineer with strong expertise in Snowflake and dbt, to design and implement scalable, high-performing data solutions. The ideal candidate will have proven experience in building modern data pipelines, mentoring engineering teams, and driving best practices for cloud-based data platforms.

Key Responsibilities:

• Lead the design, development, and optimization of data pipelines and data warehouse solutions on Snowflake.
• Develop and maintain dbt models for data transformation, testing, and documentation.
• Collaborate with cross-functional teams including data architects, analysts, and business stakeholders to deliver robust data solutions.
• Ensure high standards of data quality, governance, and security across pipelines and platforms.
• Leverage Airflow (or other orchestration tools) to schedule and monitor workflows.
• Integrate data from multiple sources using tools like Fivetran.
• Provide technical leadership, mentoring, and guidance to junior engineers in the team.
• Optimize costs, performance, and scalability of cloud-based data environments.
• Contribute to architectural decisions, code reviews, and best practices.

Required Skills & Experience:

• 8-12 years of overall experience in Data Engineering, with at least 3-4 years in a lead role.
• Strong hands-on expertise in Snowflake (data modeling, performance tuning, query optimization, security, and cost management).
• Proficiency in dbt (core concepts, macros, testing, documentation, and deployment).
• Solid programming skills in Python (for data processing, automation, and integrations).
• Experience with workflow orchestration tools such as Apache Airflow.
• Exposure to ELT/ETL tools like Fivetran.
• Strong understanding of modern data warehouse architectures, data governance, and cloud-native environments.
• Excellent problem-solving, communication, and leadership skills.

Nice To Have:

• Hands-on experience with Databricks (PySpark, Delta Lake, MLflow).
• Exposure to other cloud platforms (AWS, Azure, or GCP).
• Experience in building CI/CD pipelines for data workflows.