Data Architect

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