Lead Software Engineer

Job Description

Role: Setup the Snowflake platform for use by different personas who want to build use cases on Snowflake Design and develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget Develop and build solutions / warehouses on cloud data platforms - Snowflake- adhering to industry standards. Build governance framework for cloud data storage and usage for enterprise data platforms. Enrich / enable Snowflake platform with new features / capabilities from time to time Collaborate on cross-functional agile teams Work closely with Product Owners to understand cloud use cases and determine the best way to implement those. Provide technology leadership in Azure/AWS and Snowflake Stay abreast of Data Platform technology trends and industry best practices to hone and maintain your talent Participate in architectural discussions, iteration planning, and feature sizing meetings Creation of HLD / LLD and attend review with review boards for approvals Adhere to Agile processes and participate actively in agile ceremonies Stakeholder management skills All About You 15+ years of hands-on experience with Cloud data platform - most and recent experience in Azure/AWS Snowflake Hands on experience in Snowflake and deep understanding of its architecture, capabilities, features, possibilities Hands on experience with various types of database technologies Experience managing, developing and supporting data lakes, lake houses, warehouse on premise and on cloud, ETL solutions and other analytics solutions. Experience with various file formats that support big data Experience working with development/engineering teams in a global environment In depth practical hands-on experience on native cloud services (Azure and/or AWS) and Python, Scala, SQL Strong understanding of cloud DevOps practices and implementation. Experience in cloud data migration for large sized enterprise data warehouse environments. Understanding of cloud data governance include compute optimization, cost control, user profile management etc. In depth understanding of cloud operations strategy and user management across various cloud providers and cloud platforms. Strong understanding and hands-on on cloud security models, encryption strategy, network layers for on-prem + cloud hybrid model and other related concepts. Experience in establishing new engineering team and working towards taking the team to steady state Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team