Lead Data Architect

Job Description – Data Engineer We are looking for a highly skilled Senior Data Engineer to join our team and help us build innovative data solutions using Snowflake and DBT. Key Responsibilities • Data Pipeline Development: Design, develop, and maintain scalable data pipelines utilizing Snowflake and DBT. • Data Modeling: Create and optimize efficient data models in Snowflake to support business intelligence and analytics requirements. • ETL Processes: Implement ETL workflows to transform raw data into analytics-ready datasets using DBT. • Performance Optimization: Tune Snowflake queries and DBT models for maximum performance and scalability. • Data Integration: Seamlessly integrate Snowflake with diverse data sources and third-party tools. • Collaboration: Partner with data analysts, data scientists, and other stakeholders to gather requirements and deliver impactful data solutions. • Data Quality Assurance: Develop and enforce data quality checks to ensure accuracy, consistency, and reliability across pipelines. • Documentation: Maintain detailed documentation of data models, transformation processes, and pipelines. Required Skills & Qualifications • SQL Mastery: Exceptional skills in writing, optimizing, and debugging complex SQL queries. • Snowflake Expertise: Hands-on experience with Snowflake, including data modeling, query optimization, and system integration. • DBT Proficiency: In-depth knowledge of DBT for data transformation, modeling, and workflow orchestration. • Data Warehousing: Strong understanding of data warehousing concepts and methodologies, particularly in cloud environments. • Analytical Thinking: Proven ability to analyze large, complex datasets and derive actionable insights. • Problem Solving: Adept at identifying issues and implementing effective solutions with attention to detail. • Collaboration & Communication: Excellent interpersonal and communication skills to work effectively with cross-functional teams.