Snowflake Data Lead: SQL, DBT, Python Solutions

HCL Technologies Limited; San Antonio, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

HCLTech is seeking a Senior Technical Lead to head technical teams focused on Snowflake, DBT, SQL, and Python. You will oversee design, development, and implementation of data solutions aligned with business requirements in a dynamic, global technology environment.

Responsibilities include leading data projects, mentoring engineers, optimizing data models, and ensuring timely delivery. The role emphasizes strong communication with stakeholders and hands-on leadership across multiple disciplines.

Qualifications

• Proficiency in Snowflake data warehousing and cloud data platform.
• Experience with DBT for data transformation and modeling.
• Strong SQL for querying and data manipulation in databases.
• Proficiency in Python for scripting, automation, and data manipulation.
• Excellent problem-solving and ability to communicate with technical and non-technical stakeholders.
• Strong leadership to guide and motivate technical teams toward project success.

Responsibilities

• Lead and manage technical teams in developing Snowflake data solutions.
• Design, build, and optimize data models using Snowflake and DBT for efficient processing.
• Develop and optimize SQL queries for ETL processes.
• Utilize Python for scripting and automation of data processes.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Conduct code reviews and mentor team members to enhance technical capabilities.
• Troubleshoot issues and provide timely resolutions to ensure smooth project execution.

Skills

Snowflake

DBT

SQL

Python

Communication

Leadership

Job description

HCLTech is seeking a Senior Technical Lead to head technical teams focused on Snowflake, DBT, SQL, and Python. You will oversee design, development, and implementation of data solutions aligned with business requirements in a dynamic, global technology environment.

Responsibilities include leading data projects, mentoring engineers, optimizing data models, and ensuring timely delivery. The role emphasizes strong communication with stakeholders and hands-on leadership across multiple disciplines.