As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and an Architect as demanded by each project to define, design, and deliver actionable insights.

On a typical day, you might

Collaborate with the clients to understand the overall requirements
Create a robust, extensible architecture to meet the client/business requirements
Translate the Business requirements into technical artifacts
Identify the right technical stack and tools that best meet the client's requirements
Design end-to-end solutions along with data strategy, including standards, principles, data sources, storage, pipelines, data flow, and data security policies
Collaborate with data engineers, data scientists, and other stakeholders to execute the data strategy
Perform data analysis to understand the relevant data sets
Design and create Data Models to cater to all the requirements
Identify and implement the right orchestration tool
Define the right security and access policies
Implement the Snowflake best practices
Define the right data distribution/consumption pattern for downstream systems and consumers
Perform the code reviews and ensure quality deliverables
Work with the DevOps team to define and establish CI/CD process
Own end-to-end delivery of the project
Work closely with the clients during UAT Testing and ensure all client issues/concerns are addressed
Proactively identify the performance bottlenecks and propose corrective actions
Design and develop reusable frameworks
Work with the Project Managers to prioritize work for each sprint to meet project milestones and deadlines
Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments, etc

Requirements Overall 10+ years of experience and minimum 8 years of experience as an Architect on Analytics solutions and around 3 years of experience with Snowflake.

Minimum 3+ years of experience working in Cloud platforms, familiarity with Public Cloud architectures
Good understanding of Database and Datawarehouse concepts
Comprehensive knowledge of the Snowflake capabilities such as Snow pipe, SnowSQL, Streams, and Snowflake architecture and awareness of Snowflake roles and user security.
In-depth knowledge and experience in data migration from RDBMS to Snowflake cloud data warehouse
Experience in implementing Snowflake integration with DBT and other modern data stack tools
Well-versed with Incremental extraction loads - batched and streaming
Experience with Azure, AWS, or GCP
Ability to architect data architecture solutions that are in alignment with the strategic technology roadmap and emerging industry trends
Strong exposure to Data Modelling, Data Access Patterns, and SQL
Knowledge of Cost Management, Infrastructure Planning & Disaster Recovery
Good experience in Data Governance and a good understanding of DevOps practices
Comprehensive understanding of Data Virtualization
Decent experience in working on Big Data Platform
Ability to work closely with cross-functional teams
Excellent communication (verbal and written) and excellent interpersonal skills
Demonstrate thought leadership and ability to guide /mentor team members, and create the technical artifacts

Snowflake Architect