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
- Solid exposure to Data Modelling, Data Access Patterns, and SQL
- Knowledge of Cost Management, Infrastructure Planning & Disaster Recovery
- Valuable 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

📌 Snowflake Engineer - Data Build Tool (India)
🏢 Instatalent Recruit
📍 India