Snowflake Architect
4 weeks ago
Job Responsibilities:
● Lead and Architect migration of data analytics environment to Snowflake with performance and reliability.
● Assess and understand the ETL jobs, workflows, BI tools, and reports
● Based on the findings from the assessment, define a high-level roadmap for migration to Snowflake on AWS along with a future state reference architecture on Azure cloud
● Responsible for end-to-end data analytics design and architecture for Snowflake in Aws
● Improve existing data pipelines in the cloud for data transformation and aggregation.
● Address a majority of technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of Snowflake
● Setup, configure and deploy Snowflake
● Guide the team to handle configurations for multiple departments/groups within a single environment stack.
● Lead data analytics team for implementing the standard methodologies.
● Enable partners to make key decisions with accurate data analysis, reports, and presentations of key findings.
● Snowflake Solution Architect with expertise in Design, and Implementation of highly scalable, highly available, Cloud (IaaS, PaaS, and SaaS) services and solutions.
● Collaborate with business users to create architecture in alignment with business need
● Act as a technical subject matter expert for business users
● Champion the adoption of reusable architecture assets to improve efficiency
● Produce documentation to aid in the understanding of existing architecture solutions
● Provide technical leadership as it relates to developing strategy, scalability, performance, architecture and overall high-level design to ensure solution quality.
● Use standard methods of development spanning the full development lifecycle. .
Qualifications:
● Bachelor's degree in Computer Science, Engineering, or related area
● 10 +years' of relevant experience
● DBT and Data vault Exp required
● Hands on experience working in migration projects and large chunks of data.
● Experience with Python and SQL required.
● Expertise in ETL, Data Warehousing Analytics, Ab Initio, Data stage. Any reporting tool experience, preferred.
● Cloud experience required (AWS or Azure).
● Advanced knowledge of leading architecture solutions in the industry area
● Excellent interpersonal and collaboration skills
● Ability to demonstrate technical concepts to non-technical audiences
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