• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 26th Mar 2025

​    Data Architecture Design:

        Design scalable and efficient data architectures that support the organization’s digital platforms and applications.

        Develop logical and physical data models that represent business processes and data flows.

        Define data storage solutions, including relational databases, data lakes, data warehouses, and NoSQL databases, based on use cases and requirements.

​    Data Integration and Management:

        Lead the integration of data from various sources, ensuring consistency, accuracy, and timeliness.

        Implement data pipelines and ETL (Extract, Transform, Load) processes to facilitate data movement and transformation.

        Manage and optimize the performance of databases and data storage systems, ensuring low latency and high availability.

​    Data Governance and Security:

        Establish data governance frameworks, including data quality standards, data lineage, and metadata management.

        Define and enforce data security policies, including data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, HIPAA).

        Ensure data privacy and protection measures are in place, particularly for sensitive and personally identifiable information (PII).

​    Collaboration and Communication:

        Work closely with business stakeholders, data scientists, data engineers, and software developers to understand data requirements and translate them into architectural solutions.

        Provide guidance on data-related issues and best practices, ensuring alignment between data architecture and business objectives.

        Document data architecture designs, data models, and processes for knowledge sharing and future reference.

​    Innovation and Continuous Improvement:

        Stay informed about the latest data technologies, tools, and industry trends to drive innovation in data architecture.

        Evaluate and recommend new data management technologies and platforms to improve the organization’s data capabilities.

        Lead efforts to improve data architecture, including refactoring, optimization, and migration of legacy systems to modern platforms.

​    Data Analytics and Reporting:

        Support the development of data analytics platforms by ensuring that data architectures are designed for efficient querying and reporting.

        Collaborate with data analysts and business intelligence teams to develop dashboards, reports, and data visualizations.

        Implement data cataloging and discovery tools to enable self-service data access for business users.