Data Architect

The Data Architect is responsible for designing, creating, and managing data architecture solutions that support the organization's data strategy and goals. This role involves collaborating with IT and business stakeholders to ensure data is efficiently stored, accessed, and utilized across various systems. The Data Architect plays a critical role in enhancing data quality and governance, ultimately impacting decision-making processes and driving business intelligence initiatives.

• •Data Architecture Design

  Developing and maintaining an enterprise-level data architecture that ensures data integrity, accessibility, and security while aligning with organizational objectives and standards.

• •Data Modeling

  Creating and refining complex data models, including conceptual, logical, and physical models, to support new systems and initiatives while ensuring scalability and performance.

• •Database Management

  Overseeing the design, implementation, and maintenance of databases and data lakes to ensure optimal performance, integrity, and availability across multiple environments.

• •Data Governance

  Establishing and enforcing data governance policies and procedures to ensure data quality, consistency, and compliance with legal and ethical standards across the organization.

• •Tech Stack Evaluation

  Assessing and recommending new data management technologies and tools, evaluating their impact on organizational goals, scalability, and the overall tech stack efficiency.

• •Cross-functional Collaboration

  Collaborating closely with IT, BI, and other stakeholders to understand data requirements and provide solutions that enhance data-driven decision-making throughout the company.

• •Performance Optimization

  Implementing strategies to enhance data processing and storage efficiency, focusing on speed, responsiveness, and cost-effectiveness of data management systems.

• •Documentation and Standards

  Creating and maintaining comprehensive documentation for data architectures, models, and configurations, ensuring adherence to industry and company standards and best practices.

• •5+ years of experience in data architecture or a related field
• •Proficiency in database management systems, such as SQL Server, Oracle, or MySQL
• •Strong understanding of data modeling techniques and best practices
• •Experience with big data technologies (e.g., Hadoop, Spark) and cloud data solutions (e.g., AWS, Azure)
• •Familiarity with data governance frameworks and data privacy regulations