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• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 29th Oct 2025

-Designs and develops architecture of cloud-based data management systems.
-Proficiency and practical experience in implementing Centralized (Data Warehouse) and decentralized (Data Mesh) data architectures.
-Creates data models including data storage, access, and usage patterns for cloud environments.
-Defines data security policies, authentication, and authorization mechanisms for cloud-based platforms.
-Collaborates with cross-functional teams to architect highly scalable, highly available, and highly performant cloud data solutions.
-Evaluates and recommends new cloud products and services for efficient data storage and processing.
-Ensures compliance with data governance policies and best practices in the cloud.
-Implements data management and data governance processes for cloud data.
-Conducts thorough analysis and documentation of cloud data architecture strategies and designs.
-Establish regular overall system performance assessment processes and action plans.
-Provide direction for the design and development of the data layers including review of ETL requirements.
-Capable of leading team design sessions and facilitating decisions.
-Experience in Data Integration leveraging Snowflake, Informatica IICS, SQL, Mulesoft and Python code to solve complex use cases
-Excellent understanding and practical experience on Salesforce CRM
-Ensure timely delivery of solutions meeting requirements and expectations

Minimum experience/skills:

-5+ years of experience in Cloud Data Architecture, data warehousing, data modeling, ETL, enterprise and business information system architectures, and system engineering
-Thorough knowledge and Implementation experience of data warehouse and Enterprise Data architecture principles.
-3-5 years of experience architecting/developing Cloud-based (AWS) data solutions.
-5+ years of Cloud database platform experience such as Snowflake.
-Experience in creating, reviewing and maintaining end-to-end data architectures.
-Strong communication skills comfortable explaining/proposing solutions to technical stakeholders, vendors, and business consumers.
-Proficiency with Unix, Linux, and shell scripting
-Experience working with a large, multi-terabyte enterprise data platform in Cloud.
-Experience with system administration, database administration, storage architectures, backup & recovery, and networking.
-Informatica (IICS) ETL and Mulesoft experience
-Salesforce Experience
-Experience working with highly sensitive health care information and familiar with HIPAA and other data privacy controls.