Data Architect

Summary

Join our team as a Snowflake Data Architect and play a mission-critical role in shaping our data engineering strategy. You will lead the development of our Enterprise Data and Analytics Platforms, focusing on expanding, optimizing, and monitoring our data pipelines. This role demands expertise in Azure integration with Snowflake, complex SQL, and various data modeling techniques. You will implement enterprise data warehouse solutions, develop ETL processes, and improve existing cloud data pipelines. Furthermore, you will ensure Snowflake alignment with business needs, guide the team in handling configurations, and act as a data domain expert. Your responsibilities include designing data analytics architecture, implementing data security, and addressing technical inquiries.

Requirements

• 8+ years of experience implementing data management solutions (Required)
• Expertise in Snowflake concepts like setting up Resource monitors, RBAC controls, scalable virtual warehouse, SQL performance tuning, zero copy clone, time travel and automating them
• Must have worked on at least one enterprise-wide end to end implementation of snowflake including
• Enterprise wide RBAC in snowflake
• Data modelling for entire organizational data assets in snowflake
• DR solution
• Performance optimization
• Best security practices in snowflake
• Private connectivity implementation
• Experience in Azure technologies such as ADLS, ADF, Azure functions, App Service etc
• SnowSQL Experience in developing stored Procedures writing Queries to analyze and transform data
• Design and Develop automated monitoring processes on Snowflake using combination of Python, PySpark, Bash with SnowSQL

Responsibilities

• Must have expertise in Azure and its integration with Snowflake to load/unload data
• Proficiency in complex SQL, Unix Shell/Python Scripting, performance tuning and database optimization techniques
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
• Implement Enterprise data warehouse solutions with Snowflake
• Develop project requirements for end-to-end ETL using Snowflake
• Improve existing data pipelines in cloud for data transformation and aggregation
• Make necessary on-going updates to modeling principles, processes, solutions, and best practices to ensure that the Snowflake is aligned with business needs of the environment
• Responsible for end-to-end data analytics design and architecture for Snowflake in Azure
• Guide the team to handle configurations for multiple departments/groups within single environment stack
• Experience with data security and data access controls and design in Snowflake
• Act as Data domain expert for Snowflake in a collaborative environment to provide demonstrated understanding of data management best practices and patterns
• Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of Snowflake

Preferred Qualifications

Certified Snowflake cloud data warehouse Architect (Desirable)