Primary Roles & Responsibilities: • Architect and implement end-to-end data solutions using Snowflake. • Design modern data platforms integrating tools like DBT, Fivetran, Airflow, and cloud services (AWS, Azure, GCP). • Optimize Snowflake performance through clustering, caching, and query tuning • Lead data modeling efforts (star/snowflake schema) and ETL/ELT pipeline design • Provide technical leadership and mentorship to engineering teams • Collaborate with stakeholders to gather requirements and deliver tailored solutions • Support pre-sales activities, including solutioning and technical demos Requirements Experience in data architecture, data warehousing, and cloud technologies. • Strong expertise in Snowflake architecture, data modeling, and optimization. • Solid hands-on experience with cloud platforms: AWS, Azure, and GCP. • In-depth knowledge of SQL, Python, PySpark, and related data engineering tools. • Expertise in data modeling (both dimensional and normalized models). • Strong experience with data integration, ETL processes, and pipeline development. • Certification in Snowflake, AWS, Azure, or related cloud technologies. • Experience working with large-scale data processing frameworks and platforms. • Experience in data visualization tools and BI platforms (e.g., Tableau, Power BI). • Strong experience with client communication and requirement understanding. • Experience in Agile methodologies and project management. • Strong problem-solving skills with the ability to address complex technical challenges. • Excellent communication skills and ability to work collaboratively with cross-functional teams.