Roles & Responsibilities :

- 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 technology stack and tools that best meet the client 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 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

- Guide /mentor team members, and create the technical artifacts

- Demonstrate thought leadership

Required Experience :

- Overall 10+ years of experience, a minimum 4 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

- Excellent understanding of Database and Datawarehouse concepts

- Decent experience in migration projects, migrating from On-prem to Snowflake

- 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

- Understanding of Data Virtualization

- Experience in working in Big Data Platform

- Ability to work closely with cross-functional teams

Excellent communication (verbal and written) and excellent interpersonal skills