[Remote] Lead Data Engineer- Snowflake

Note: The job is a remote job and is open to candidates in USA. Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. They are seeking an experienced Lead Data Engineer with expertise in AWS & Snowflake to design and maintain data infrastructure and pipelines, collaborating with data teams to enhance data-driven decision making. Responsibilities • Designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Cloud Snowflake DBT • Collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization • Lead the implementation of dbt (Core/Cloud) and Matillion for robust ETL/ELT workflows • Leverage AWS best practices to ensure pipelines are cost-effective, reliable, and high-performing • Develop and maintain version-controlled data workflows using Git and automated deployment pipelines • Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake • Build processes supporting data transformation, data structures, metadata, dependency and workload management Skills • 10+ years of overall industry experience specifically in data engineering • 8+ years of experience building and deploying large-scale data processing pipelines in a production environment • Strong proficiency in Python, SQL, and PySpark • Expert-level AWS (S3, Glue, Lambda) and Databricks/Apache Spark for batch and real-time streaming • Deep expertise in the Snowflake Cloud Data Platform, including datamart development and SnowPro-level optimization • Lead the implementation of dbt (Core/Cloud) and Matillion for robust ETL/ELT workflows • Leverage AWS best practices to ensure pipelines are cost-effective, reliable, and high-performing • Develop and maintain version-controlled data workflows using Git and automated deployment pipelines • Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake • Strong problem-solving skills and the ability to handle complex data challenges • Build processes supporting data transformation, data structures, metadata, dependency and workload management Benefits • Significant career development opportunities exist as the company grows. • The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Company Overview • Tiger Analytics offers data analytics and predictive modeling solutions for retail, social media, and online advertising sectors. It was founded in 2010, and is headquartered in Santa Clara, California, USA, with a workforce of 5001-10000 employees. Its website is Company H1B Sponsorship • Tiger Analytics has a track record of offering H1B sponsorships, with 259 in 2025, 158 in 2024, 93 in 2023, 176 in 2022, 123 in 2021, 64 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job