Data Architect

Job Description

• Design Design develop and operate the entity s data architecture ensuring alignment with long-term strategic goals and business priorities
• Define and implement conceptual logical and physical data models to support enterprise-wide data management and analytics
• Establish and maintain architecture roadmaps ensuring scalability security and efficiency of data assets
• Framework Standards Development Develop and enforce data architecture principles standards and best practices for data integration storage and processing
• Define data modeling guidelines and oversee the creation of data dictionaries and metadata repositories
• Ensure compliance with data governance security and regulatory requirements within architectural designs
• Data Integration Management Design and oversee data integration frameworks to enable seamless connectivity between internal and external data sources
• Define and manage data pipelines for extracting transforming and loading ETL data into storage solutions such as data warehouses data lakes and data marts
• Work with IT teams to select implement and maintain data management tools e g MDM data quality tools
• Performance Monitoring Optimization Continuously assess and optimize data architecture performance through regular testing validation and troubleshooting
• Recommend and implement improvements to enhance data accessibility security and efficiency
• Ensure proper indexing partitioning and data optimization techniques are applied to maximize query performance
• Stakeholder Collaboration Alignment Collaborate with senior management IT teams and business stakeholders to align data architecture with organizational objectives
• Work with data engineers analysts and governance teams to ensure architectural solutions meet functional and business needs
• Provide guidance and technical leadership on data management initiatives and architectural enhancements
• Technology Assessment Innovation Evaluate emerging data technologies platforms and tools to enhance data architecture capabilities
• Conduct feasibility studies to assess the impact of adopting new data solutions
• Ensure the organization remains at the forefront of best practices in data architecture and management

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related field
• Certifications in Data Architecture, Data Management, or Cloud Platforms (e.g., TOGAF, DAMA CDMP, AWS Certified Data Analytics, Google Cloud Professional Data Engineer) are a plus

• 7+ years of experience in data architecture, data modeling, and enterprise data management
• Proven experience in designing and implementing data warehouses, data lakes, and enterprise data frameworks
• Strong background in ETL/ELT processes, data integration, and data governance

• Expertise in data modeling (conceptual, logical, and physical), metadata management, and reference/master data management
• Proficiency in SQL, data modeling tools (e.g., Erwin, Archi Mate), and cloud-based data platforms (AWS, Azure, GCP)
• Strong knowledge of data security, privacy, and compliance regulations
• Ability to translate business requirements into scalable and efficient data architecture solutions
• Excellent problem-solving, communication, and stakeholder management skills