Snowflake Lead (Immediate Joiners only)

LumenData; Bengaluru; Hybrid; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Hybrid work model

Learning opportunities

Job summary

LumenData is seeking a Lead Data Engineer with strong Snowflake and dbt expertise to design scalable, high-performing data solutions. You will lead data pipelines, mentor engineers, and drive best practices for cloud-based platforms.

The role focuses on building modern data pipelines, collaborating with cross-functional teams, and ensuring data governance, security, and cost efficiency while operating in a hybrid model from Bangalore.

Qualifications

• 8–12 years in data engineering with 3–4 years in a lead role.
• Strong Snowflake data modeling, performance tuning, and cost management.
• Proficient in Python for data processing and automation.
• Experience with Apache Airflow and Fivetran for ELT/ETL.

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.

Skills

Leadership

Problem-solving

Communication

Tools

Snowflake

dbt

Python

Apache Airflow

Fivetran

Databricks

Job description

Job Title: Lead Data Engineer - Snowflake

Location: Bangalore (Hybrid)

Company: LumenData

About LumenData:

LumenData is a leading consulting firm specializing in enterprise data management, analytics, and cloud modernization. We partner with clients across industries to deliver trusted data solutions that drive business innovation and growth.

Role Overview

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.

Good 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.

Why Join LumenData?

• Opportunity to work with cutting-edge cloud and data technologies.
• Collaborative, innovative, and growth-oriented work culture.
• Hybrid work model with flexibility and learning opportunities.
• Be part of a team that shapes enterprise data strategies for global clients.