Candidate must be currently working with snowflake projects and should be technically sound with Snowflake ecosystem. The Snowflake Delivery Lead is responsible for end-to-end delivery and implementation of Snowflake-based data solutions. The role requires strong experience in data analysis, Snowflake architecture, cloud platforms, and data engineering, combined with project leadership, delivery governance, and stakeholder engagement. Requirements Primary Roles & Responsibilities: • Own and manage the full delivery lifecycle of Snowflake-based data engineering projects. • Design, develop, and implement scalable data pipelines, ETL/ELT workflows, and integrations. • Build and optimize high-performance data models, schemas, and analytical SQL queries. • Perform exploratory data analysis (EDA) to understand source data, identify patterns, and drive informed design decisions. • Work closely with data analysts to translate business requirements into analytical data sets, KPIs, dashboards, and insights. • Integrate Snowflake with enterprise data sources, APIs, and third-party platforms. • Ensure adherence to data governance, security, compliance, and quality controls. • Collaborate with business teams to gather analytical requirements and define reporting metrics. • Monitor, optimize, and automate Snowflake storage, compute usage, and overall performance. • Lead delivery planning, sprint execution, reporting, and milestone alignment. • Provide guidance on Snowflake best practices, cloud architecture, and performance tuning. • Maintain documentation for data models, lineage, analytical workflows, and transformations. • Hands-on experience integrating with cloud storage and ETL tools (dbt, Fivetran, Matillion, Airflow). • Support real-time and batch analytical workloads within cloud ecosystems.