Data Architect

• Job Description Strategic Data Architecture & 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

Desired Candidate Profile

• Education & Certifications 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 Experience 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 Skills & Competencies Expertise in data modeling (conceptual, logical, and physical), metadata management, and reference/master data management Proficiency in SQL, data modeling tools (e.g., Erwin, ArchiMate), 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