Data Architect Data Modeling and Design- Designing data models: Creating detailed blueprints for managing data within an organization. Identifying data needs: Understanding the organization's data requirements to ensure the architecture supports business needs. Data integration: Designing how data from different sources will be combined and managed. Data storage solutions: Determining the best ways to store and manage data, including cloud-native architectures. Data Management and Governance: Defining data standards: Establishing principles and guidelines for how data is defined, collected, stored, and used. Data quality: Implementing data validation and cleansing processes to ensure data is clean, consistent, and reliable. Data security: Implementing security measures to protect sensitive data, including access controls and encryption protocols. Data migration: Overseeing the migration of data from legacy systems to new systems. Technical Expertise: Database design: Designing and optimizing databases to store and retrieve information efficiently. Data warehousing and data lakes: Designing and implementing data warehousing and data lake architectures. Data integration tools: Using various tools and technologies to integrate data from different sources. Business Alignment: Translating business requirements: Converting business needs into technical requirements for data management. Data governance: Ensuring data is managed in accordance with organizational policies and industry regulations. Communication and collaboration: Working with various stakeholders, including business analysts, data scientists, and IT professionals. Problem Solving Identifying and resolving issues: Quickly locate the root cause of an issue and create efficient solutions Salary Range- $125,000-$140,000 a year #LI-CO1 #LI-SN1