Data Architect

We are seeking a highly skilled Data Architect to design, implement, and manage scalable data solutions. The ideal candidate will be responsible for developing data models, optimizing data pipelines, ensuring data integrity, and integrating data systems across the organization.

Key Responsibilities:
Design and develop data architectures, including data lakes, data warehouses, and databases.
Define and implement data governance policies, standards, and best practices.
Optimize ETL (Extract, Transform, Load) pipelines for efficient data processing.
Work closely with data engineers, analysts, and business stakeholders to understand data needs.
Ensure data security, privacy, and compliance with industry regulations (GDPR, HIPAA, etc.).
Design and maintain data models (conceptual, logical, and physical).
Implement cloud-based data solutions (AWS, Azure, GCP) for scalability and performance.
Evaluate and select appropriate database technologies (SQL, NoSQL, GraphDB, etc.).
Develop and maintain metadata management and data lineage tracking.
Monitor and troubleshoot data-related issues, ensuring system performance.
Required Skills & Qualifications:
Bachelor’s/Master’s degree in Computer Science, Data Science, Information Technology, or related field.
5+ years of experience in data architecture, data engineering, or database administration.
Strong knowledge of relational (SQL) and non-relational (NoSQL) databases.