Lead Data Engineer(Snowflake/DBT)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Engineer (Snowflake/DBT) in India.

In this role, you will lead the design, development, and optimization of data pipelines, warehouses, and analytics platforms to enable data-driven decisions across multiple business functions. You will work with cross-functional teams to translate complex business requirements into scalable, efficient data solutions, leveraging modern tools like Snowflake, DBT, Airflow, and Looker. This position offers the opportunity to mentor junior engineers, implement best practices in data governance, and ensure data quality, reliability, and performance. You will operate in a dynamic environment that embraces agile methodologies, encourages innovation, and supports flexible working arrangements.

Accountabilities

• Lead the development of end-to-end ETL/ELT pipelines for business reporting and analytics.
• Design, implement, and maintain scalable data models and data warehouse solutions in Snowflake.
• Develop, test, and deploy DBT models, ensuring modularity, performance, and maintainability.
• Mentor junior engineers and act as a technical point of contact for data technologies and solutions.
• Troubleshoot and resolve technical issues, including pipeline failures and data inconsistencies.
• Translate business requirements into technical specifications, ensuring timely and accurate delivery of data models and dashboards.
• Apply and champion data governance, quality, and best practices across pipelines and models.
• Collaborate with analysts, BI teams, and other stakeholders to optimize data delivery and reporting.

Requirements

• 7+ years of experience in data engineering or related roles with hands-on expertise in Snowflake.
• Strong experience with DBT and modern data stack tools (Airflow, Fivetran, Looker, SQL, AWS).
• Solid experience in data modeling, warehouse architecture, and optimizing large-scale datasets.
• Proficient in building automated, high-quality ETL/ELT pipelines.
• Experience with Data Mesh or similar distributed data architectures is a plus.
• Strong understanding of agile delivery processes (e.g., SCRUM).
• Excellent SQL skills, including query optimization and advanced analytics queries.
• Familiarity with Python, data governance tools (Atlan, Alation, Collibra), or data quality tools (Great Expectations, Monte Carlo, Soda) is advantageous.
• Strong communication skills and ability to document technical processes clearly.
• Business-level English proficiency.

Benefits

• Competitive salary package.
• Flexible remote working arrangements within your assigned Indian state or up to 90 days from a different location.
• Self and family health insurance, term & life insurance, OPD benefits.
• Mental wellbeing support via Plumm.
• Learning and development budget, including professional growth opportunities.
• Work-from-home setup allowance.
• 15 privilege leaves, 12 casual leaves, 12 sick leaves, 3 paid days for volunteering or learning activities.
• Stock options and opportunities for career growth within a diverse, inclusive environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!