• 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 :- 10th Apr 2025

Data Architecture Design: Develop and maintain an end-to-end data architecture strategy, ensuring scalability, security, and alignment with business goals.

Data Engineering: Lead the design and implementation of robust, scalable, and efficient data pipelines to ingest, process, and store data from diverse data sources.

Data Modelling: Create and maintain conceptual, logical, and physical data models to support databases, data warehouses, and data lakes.

Data Integration: Implement and oversee ETL (Extract, Transform, Load) processes for seamless integration of structured and unstructured data from multiple sources.

Data Analysis: Collaborate with data analysts to ensure data accessibility and deliver actionable insights from business data. Develop architecture that supports advanced analytics, reporting, and machine learning use cases.

Data Governance: Implement and enforce best practices for data governance, data quality, and data stewardship, ensuring compliance with privacy regulations (e.g., GDPR, CCPA).

Data Performance Optimization: Monitor and optimize data systems to ensure high availability, reliability, and performance.

Data Warehousing: Oversee the design and maintenance of data warehouses and data lakes to support analytical queries and real-time reporting.

Data Security & Compliance: Ensure the data architecture adheres to data security protocols and industry standards, implementing encryption, masking, and other privacy measures.

Collaboration: Work closely with data engineers, analysts, business stakeholders, and IT teams to define data needs, data flow, and analytics requirements.

Data Tooling: Identify and recommend tools and technologies for data management, analysis, and reporting, based on current trends and business needs.

Documentation: Prepare comprehensive documentation for data architecture, processes, and workflows, ensuring clear communication between teams.

Problem Solving: Lead troubleshooting efforts for data-related issues, providing strategic solutions that support long-term goals.