About Company: USEReady helps businesses to be self-reliant on data. Growing over 3000% since inception, USEReady achieved #113 rank in Inc 500 2015 and honoured top 100 companies in North America 2015 by Red Herring. USEReady is built on strong entrepreneurial spirit with unprecedented opportunities for career growth. At USEReady, we believe in achieving career growth while improving our individual competencies. If you desire to be part of a team that believes in mutual success and inspiration, you are welcome to apply. USEReady helps enterprises apply AI and agentic intelligence to improve decisions, automate operations, and build smarter, more autonomous business systems. For more than a decade, we have built the foundations that make this possible by modernizing BI environments, migrating legacy platforms, improving data quality, and enabling governed, cloud-first architectures. These foundations now support the next step: AI-driven insights, automated intelligence, and agent-powered decision support that reduce complexity and accelerate outcomes. We work closely with technology leaders such as AWS, Elementum, Snowflake, Tableau, Databricks, and others to help organizations modernize analytics, strengthen governance, and deploy agentic automation with confidence. Headquartered in New York City with 450+ experts across the United States, Canada, India, and Singapore, we serve industries including financial services, healthcare, manufacturing, government, education, and retail. Our deep expertise, player-coach delivery model, and focus on fast, measurable results make us a trusted partner for building an AI-ready enterprise. Check us out at Job Description:Senior Snowflake Data Engineer We are looking for aSnowflake Data Engineer(8-10 years of experience) to architect, build, and scale our data platform. In this role, you won't just be writing queries; you will be responsible for the full-stack Snowflake ecosystem, including performance tuning, cost management, and leveraging the latest features likeSnowparkandCortex AI .Key Responsibilities : Warehouse Architecture:Design and implement highly performant Snowflake environments, including multi-cluster warehouses, resource monitors, and custom scaling policies. Modern Data Pipelines:Build end-to-end ELT pipelines usingSnowpipe ,Streams , andTasksfor real-time and batch ingestion. Snowpark Development:UseSnowpark (Python/Java)to migrate complex transformation logic from legacy systems directly into Snowflake's elastic compute. Optimization & Tuning:Conduct deep-dive analysis into query profiles to optimize micro-partitioning, clustering keys, and materialized views. Governance & Security:Implement robust security frameworks usingRow-Level Security (RLS) ,Object Tagging , andDynamic Data Masking . Cost Management:Monitor credit consumption and implement strategies to ensure maximum ROI on Snowflake spend.Technical Skills & Qualifications : Experience:8-10 years in Data Engineering, with at least 4+ years of dedicated Snowflake development. Core Expertise: Advanced SQL:Expertise in analytical functions, CTEs, and UDFs (User Defined Functions). Data Modeling:Proficiency in Star Schema, Snowflake-specific optimizations (clustering) Python/Snowpark:Strong ability to write Python code for data processing within the Snowflake environment. Ecosystem Knowledge:Experience withdbt (data build tool)for modular SQL modeling andGitfor version-controlled data pipelines. Cloud Infrastructure:Familiarity with cloud storage (S3, Azure Blob, or GCS) and how Snowflake interacts with external stages.
Job Title
Data Lead- Snowflake