12.0 - 15.0 years

37 - 40 Lacs

Pune

Work from Office

We are looking for immediate joiner + we can join us within 30 Days for below position Primary Role We are looking for a seasoned Snowflake Architect/Lead to design, build, and optimize enterprise-scale data warehouse solutions on the Snowflake Data Cloud. The ideal candidate will have extensive experience in Snowflake architecture, cloud data platforms, and enterprise data warehousing, with a strong background in the banking domain and Azure cloud. This role requires leadership skills to guide technical teams and deliver robust, scalable data solutions aligned with business needs. Key Responsibilities: Architect and lead the implementation of scalable, secure, and high-performance Snowflake data warehouse solutions, including enterprise data warehouse (EDW) projects. Develop and oversee ETL/ELT pipelines using tools such as DBT, ensuring data quality, transformation, and orchestration. Manage Snowflake environments on Azure cloud, leveraging cloud-native features for compute and storage scalability. Implement data governance, security policies, and compliance standards suitable for the banking domain. Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders to translate requirements into technical architecture. Lead performance tuning, query optimization, and cost management strategies within Snowflake. Mentor and lead data engineering teams, enforcing best practices and coding standards. Stay updated with Snowflake platform advancements and cloud data trends to drive continuous improvement. Support solution design, code reviews, and architectural governance. Desired Skills Qualification Bachelors degree in science, Engineering and related disciplines. Work Experience 12+ years of experience in data engineering, data architecture, or related roles. Minimum 3-5 years of hands-on experience architecting and implementing Snowflake solutions. Proven experience implementing enterprise data warehouses (EDW) on Snowflake. Strong experience with Azure cloud platform and its integration with Snowflake. Expertise in DBT for data transformations and pipeline orchestration. Deep knowledge of banking domain data requirements, compliance, and security. Proficiency in SQL and ETL Experience with cloud data platform concepts such as separation of compute and storage, multi-cluster architecture, and scalability. Solid understanding of data modeling (star/snowflake schemas) and data governance. Strong leadership, communication, and stakeholder management skills. Experience leading and mentoring technical teams.

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