Description :

Title - Data Architect

Exp - 7 - 15 years

Location - Delhi

Job Description

Responsibilities:

Data Strategy and Planning:

• Develop and implement an overarching data strategy aligned with the organization's business objectives.
• Collaborate with stakeholders to understand data requirements and translate them into comprehensive data architecture designs.

Data Modeling and Design:

• Design and implement scalable, secure, and high-performance data models.
• Create and maintain data dictionaries, metadata, and documentation for all data-related assets.

Database Management:

• Evaluate, select, and implement database management systems.
• Oversee database performance, capacity, security, and availability.

Data Integration:

• Develop data integration strategies to ensure seamless flow of information across systems.
• Implement ETL (Extract, Transform, Load) processes for efficient data movement.

Data Security and Privacy:

• Implement and enforce data security and privacy measures.
• Ensure compliance with data protection regulations and policies.

Collaboration:

• Work closely with business analysts, data scientists, and other stakeholders to understand data needs and deliver effective solutions.
• Collaborate with IT teams to integrate data management solutions into existing systems and applications.

Performance Optimization:

• Identify and resolve issues related to data architecture, ensuring optimal performance and responsiveness.
• Conduct regular reviews and assessments to optimize data architecture for evolving business requirements.

Emerging Technologies:

• Stay abreast of industry trends and emerging technologies related to data architecture.
• Evaluate and recommend new tools and technologies to enhance data management capabilities.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Architect or in a similar role.
• In-depth knowledge of database management systems, data warehousing, and ETL processes.
• Strong understanding of data security, privacy, and compliance considerations.
• Proficiency in data modeling tools and techniques.