Lead Data Architect for Cloud Data Warehousing
2 days ago
We are seeking a highly skilled Lead Data Architect to join our team at Value Momentum Software Services Pvt. Ltd. This is an exciting opportunity for a seasoned professional to lead the design and implementation of data solutions using Snowflake.
About the JobThe ideal candidate will have a solid background in data architecture, cloud data warehousing, and analytics. As a Lead Data Architect, you will be responsible for leading the design, development, and implementation of data solutions using Snowflake. You will collaborate closely with cross-functional teams to ensure data solutions are accurate, accessible, and secure.
About UsValue Momentum Software Services Pvt. Ltd. is a leading solutions provider for the global property & casualty insurance industry. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&C insurance value chain.
Responsibilities- Lead the design and implementation of Snowflake solutions to meet business requirements.
- Collaborate with business stakeholders, data engineers, and analysts to gather requirements, ensuring data quality and integrity.
- Lead the development and maintenance of data models and pipelines using Snowflake.
- Manage diverse data sets (XML, JSON, CSV) from disparate sources.
- Optimize Snowflake performance, including query tuning and storage optimization.
- Manage and mentor a team of data professionals in Snowflake best practices.
- Develop and maintain ETL processes to integrate data from various sources.
- Monitor and troubleshoot data issues and implement solutions.
To be successful in this role, you will need:
- 6+ years of experience in data engineering, data warehousing, or related roles.
- Strong expertise in Snowflake architecture, SQL, and data modeling.
- Experience with ETL tools (Informatica) and data integration methodologies.
- Solid understanding of data warehousing concepts, metadata management, data lakes, and multi-dimensional models.
- Familiarity with AWS cloud platforms and data pipeline orchestration tools (e.g, Apache Airflow).
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