We are seeking an experienced Data Lead to own and drive the design, development, and optimization of modern data platform using Snowflake & DBT.
The candidate needs to have hands-on expertise with Snowflake, DBT, and PySpark, combined with strong data architecture, team leadership, and stakeholder management skills.
Key Responsibilities
Data Architecture & Strategy : Drive the design and implementation of the enterprise data platform, leveraging Snowflake as the core data infrastructure.
Pipeline Development : Architect and deliver robust ETL/ELT pipelines in Snowflake and DBT to integrate data from diverse source systems.
Full Development Lifecycle : Participate in all phases of solution delivery, including development, testing, deployment, and optimization.
Quality Assurance : Perform code reviews, ensure adherence to engineering best practices, and continuously improve code quality and ETL performance.
Issue Resolution : Diagnose, troubleshoot, and resolve complex ETL/ELT issues with efficiency and precision.
Cross-Functional Collaboration : Work closely with product, engineering, analytics, and business teams to solve complex data challenges and align solutions with organizational goals.
Requirements
Required Skills and Qualifications :
At least 6 years of professional experience, including hands-on work as a Data Lead with strong expertise in Snowflake and DBT.
Bachelors degree in Computer Science, Software Engineering, or a related discipline.
Solid working knowledge of SQL, PySpark, and Python data libraries such as NumPy, SciPy, Pandas, Dask, and SQL, Alchemy.
Strong proficiency in Snowflake data warehousing, including schema design and implementation.
