Snowflake Architect - Wipro Ltd

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 250,000 dedicated employees serving clients across 66 countries. We deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.

• A PROUD HISTORY OF OVER 75 YEARS

• FY22 REVENUE 10.4 BN USD

• WE’RE PRESENT IN 66 COUNTRIES

• OVER 1,400 ACTIVE GLOBAL CLIENTS

Role – Snowflake Architect

Location – Lake Mary, FL ( DAY 1 Onsite )

Employment - Full time 

Job Description 

The Data+A30:A42 Lead / Architect will be responsible for designing, implementing, and managing scalable data architectures in Snowflake. The ideal candidate will have extensive experience with high-volume data aggregation, data warehousing, and performance optimization. This role will involve working closely with data engineers, analysts, and other stakeholders to ensure data integrity, accessibility, and usability.

Key Responsibilities:

• Architecture Design: Design and implement scalable, efficient, and secure data architectures in Snowflake.

• Data Modeling: Develop and maintain robust data models to support high-volume data aggregation and complex analytical queries.

• ETL Processes: Design and optimize ETL (Extract, Transform, Load) processes to handle large volumes of data efficiently.

• Performance Tuning: Implement performance tuning techniques to optimize query performance and resource utilization in Snowflake.

• Data Integration: Integrate data from various sources, ensuring seamless data flow and data integrity.

• Security: Implement data security best practices, including data masking, encryption, and access controls.

• Collaboration: Work closely with data engineers, data analysts, and business stakeholders to gather requirements and deliver data solutions that meet business needs.

• Documentation: Create and maintain comprehensive documentation of data architectures, models, and processes.

• Innovation: Stay current with industry trends and advancements in data architecture, data warehousing, and Snowflake capabilities.