Data Architect

Data ArchitectNJ/NY, USA (Hybrid onsite) Open for both Contract / Full timeNeed Senior Architect level profileOverview: We are seeking a highly skilled Data Architect to design, implement, and optimize enterprise-level data architecture solutions. The ideal candidate will possess deep expertise in data modeling, database management, cloud data platforms, and data governance. This role will collaborate closely with business and IT stakeholders to deliver scalable, secure, and efficient data solutions aligned with organizational objectives.Key Responsibilities:Design and implement enterprise-wide data architecture that supports business strategy and growth.Develop data models, data lakes, and data warehouses for both structured and unstructured data.Establish and enforce data governance, security, and compliance frameworks across the organization.Evaluate and recommend data storage, processing, and management technologies (SQL/NoSQL, cloud platforms, etc.).Lead data integration, migration, and ETL initiatives across diverse systems and platforms.Collaborate with engineering, business intelligence (BI), and analytics teams to ensure data accessibility and flow efficiency.Monitor and optimize database performance, scalability, and security.Ensure compliance with GDPR, HIPAA, CCPA, and other relevant regulatory standards.Stay current with emerging data technologies, tools, and industry best practices to continually improve data capabilities.Required Skills & Qualifications:Proven experience in Enterprise Data Architecture and Data Modeling.Proficiency with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).Strong hands-on experience with cloud data platforms such as AWS (Redshift), Azure (Synapse), and GCP (BigQuery, Snowflake).Expertise in Big Data technologies and Analytics platforms.Solid understanding of ETL and Data Integration processes.Knowledge of data governance, metadata management, and data security frameworks.Excellent collaboration and communication skills, with the ability to work across cross-functional teams