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
Data Architect • Jersey, NJ, US