Lead Data Engineer- Snowflake
Listed on 2026-01-12
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IT/Tech
Data Engineer, Big Data
Overview
Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions n us to do great work and shape the future of enterprise AI.
Responsibilities- Design, build, and maintain 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.
- 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 Py Spark
- 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 Snow Pro-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 Data warehouse (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
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.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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