Snowflake Architect Position Available In Orange, Florida

Job Description:

Wipro Limited (

NYSE:

WIT, BSE

507685,

NSE:

WIPRO) is a leadingtechnology services and consulting company focused on buildinginnovative solutions that address clients’ most complex digitaltransformation needs. We leverage our holistic portfolio ofcapabilities in consulting, design, engineering, operations, andemerging technologies to help clients realize their boldestambitions and build future-ready, sustainable businesses. A companyrecognized 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 66countries. We deliver on the promise of helping our customers,colleagues, and communities thrive in an ever-changing world.

APROUD HISTORY OF OVER 75 YEARS

FY22 REVENUE 10.4 BN USD

WE’REPRESENT 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 DataA30:

A42 Lead /Architect will be responsible for designing, implementing, andmanaging scalable data architectures in Snowflake. The idealcandidate will have extensive experience with high-volume dataaggregation, data warehousing, and performance optimization. Thisrole will involve working closely with data engineers, analysts,and other stakeholders to ensure data integrity, accessibility, andusability.

Key Responsibilities:

Architecture Design:

Design andimplement scalable, efficient, and secure data architectures inSnowflake.

Data Modeling:

Develop and maintain robust data modelsto support high-volume data aggregation and complex analyticalqueries.

ETL Processes:

Design and optimize ETL (Extract,Transform, Load) processes to handle large volumes of dataefficiently.

Performance Tuning:

Implement performance tuningtechniques to optimize query performance and resource utilizationin Snowflake.

Data Integration:

Integrate data from varioussources, ensuring seamless data flow and data integrity.

• Security:

  Implement data security best practices, including datamasking, encryption, and access controls.

Collaboration:

Workclosely with data engineers, data analysts, and businessstakeholders to gather requirements and deliver data solutions thatmeet business needs.

Documentation:

Create and maintaincomprehensive documentation of data architectures, models, andprocesses.

Innovation:

Stay current with industry trends andadvancements in data architecture, data warehousing, and Snowflakecapabilities.