Data Architect

Overview

As a Data Architect, you will be responsible for designing, implementing, and maintaining data architectures that support our business objectives and enable data-driven decision-making. You will work closely with stakeholders across the organization to understand requirements, assess technical feasibility, and develop robust data models and architectures that meet both current and future needs. 

Responsibilities

• Lead the design and development of enterprise data architectures, including conceptual, logical, and physical data models, data flow diagrams, and data dictionaries. 
• Collaborate with business stakeholders, data engineers, and data scientists to gather and analyze requirements, identify data sources, and define data integration and analytics requirements. 
• Design and implement scalable and cost-effective data storage, processing, and analytics solutions, leveraging cloud-based technologies and platforms where applicable. 
• Evaluate and recommend data management tools, technologies, and frameworks to support data ingestion, storage, processing, and analytics requirements. 
• Develop and maintain data governance policies, standards, and best practices to ensure data quality, security, privacy, and compliance with regulatory requirements. 
• Provide technical leadership and guidance to data engineering teams on best practices for data modeling, data integration, and data architecture. 
• Collaborate with IT infrastructure teams to ensure that data architectures are aligned with infrastructure requirements and constraints. 
• Stay updated with the latest trends, technologies, and best practices in data architecture, data management, and data governance. 

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field. 
• 5 years of experience as a Data Architect, Data Engineer, or similar role, with a strong background in designing and implementing data architectures. 
• Proficiency in data modeling tools and techniques, including ER modeling, dimensional modeling, and data warehouse design principles. 
• Experience with database technologies such as SQL, NoSQL, and NewSQL databases, as well as data warehousing platforms (e.g., Oracle, SQL Server, Snowflake, Redshift). 
• Hands-on experience with cloud-based data platforms and services such as AWS, Azure, or Google Cloud Platform is highly desirable. 
• Strong analytical, problem-solving, and communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders. 

Experience

• 5 years of experience as a Data Architect, Data Engineer, or similar role, with a strong background in designing and implementing data architectures.