We are seeking an experienced and highly skilled Senior Snowflake Data Engineer with over 12 years of expertise in data engineering, architecture, and cloud data platforms, particularly Snowflake, to join our dynamic team. The ideal candidate will be a results-driven professional who is passionate about designing, developing, and maintaining scalable, high-performance data pipelines in a cloud-based environment. As a senior engineer, you will take the lead on complex data engineering initiatives and work closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making across the organization.

The ideal candidate should be able to join immediately and contribute right away to mission-critical data projects.

Key Responsibilities:

• Design, implement, and maintain data architectures using Snowflake as the primary cloud data warehouse platform.
• Develop and optimize ETL/ELT processes, ensuring data pipelines are reliable, efficient, and scalable.
• Lead efforts to integrate, migrate, and transform data from various sources into Snowflake.
• Create and manage automated data workflows, monitoring, and error-handling mechanisms to ensure data integrity and reliability.
• Develop complex SQL queries and data models to support analytics and reporting requirements.
• Work with cross-functional teams including Data Science, BI, and Product teams to define data requirements and provide data solutions.
• Optimize Snowflake queries, storage, and performance to meet enterprise requirements and maximize cost efficiency.
• Collaborate with cloud architects and system engineers to ensure proper data infrastructure, security, and governance policies.
• Perform data quality assessments and ensure data is accurate, clean, and conforms to business requirements.
• Mentor and guide junior data engineers, providing technical leadership on best practices for Snowflake development.
• Troubleshoot and resolve data issues, ensuring minimal disruptions to critical systems and processes.
• Stay up-to-date with the latest trends and features in Snowflake and cloud technologies.

Required Skills & Qualifications:

• 12+ years of experience in data engineering, with a strong focus on Snowflake platform.
• Expert-level knowledge of Snowflake architecture, including warehouse setup, data loading, and query optimization.
• Strong hands-on experience in designing and building ETL/ELT pipelines using tools such as Apache Airflow, DBT, Fivetran, or similar.
• Advanced proficiency in SQL (including complex queries, stored procedures, and performance tuning).
• Experience working with cloud technologies such as AWS, Azure, or Google Cloud Platform (GCP).
• Strong understanding of data modeling, schema design, and data warehousing best practices.
• Proven ability to optimize large-scale data workloads for performance and cost efficiency in Snowflake.
• Experience with data integration tools, data lakes, and real-time data processing.
• Knowledge of data governance, security, and compliance best practices in cloud environments.
• Strong problem-solving skills and the ability to troubleshoot complex data-related issues.
• Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.