Design and implement data architecture blueprints, aligning with business strategy and regulatory requirements.

Develop data models and database designs optimized for performance, scalability, and data integrity.

Oversee the integration of new data technologies and systems into existing data architectures.

Establish data governance policies and standards to ensure data quality, security, and compliance.

Collaborate with stakeholders to understand data needs and translate them into architectural requirements.

Monitor and optimize data architecture performance, identifying and resolving bottlenecks.

Create and maintain comprehensive documentation of data architecture designs and processes.

Evaluate and recommend data management tools and technologies to improve data architecture.

Provide guidance and mentorship to data engineers and other team members on data architecture best practices.

Conduct data architecture reviews to ensure adherence to standards and identify areas for improvement.

Stay updated with the latest trends and technologies in data architecture and data management.

Participate in data-related projects, providing architectural guidance and support.

Designing and implementing data models and database schemas optimized for performance and scalability.

Developing and managing ETL (Extract, Transform, Load) processes to integrate data from various sources.

Creating and maintaining database structures, ensuring data integrity and efficient data retrieval.

Optimizing database performance through indexing, query optimization, and resource allocation.

Establishing and enforcing data governance policies and standards to ensure data quality and compliance.

Integrating on-premises data solutions with cloud-based data platforms and services.

Implementing security measures to protect sensitive data and prevent unauthorized access.

Designing and managing data warehouses for business intelligence and reporting purposes.

Implementing big data solutions using technologies like Hadoop, Spark, and NoSQL databases.

Planning and executing data migration projects, ensuring minimal disruption and data loss.

Developing reporting and analytics solutions to provide insights into business performance.

Collaborating with cross-functional teams to understand data requirements and deliver effective solutions.