Data Architect

Job Description

JOB TITLE

Data Architect | MAF Properties | Technology & Transformation

Role Summary

Working with stakeholders and executives, the role enables advanced analytics, operational efficiency, and strategic, data-driven decision-making.

• Technology Strategy & Transformation: Develop and communicate enterprise-wide technology strategy, drive digital maturity, and champion adoption of AI, cloud, and automation across business and customer processes.
• Enterprise Architecture: Lead design and management of scalable, modular enterprise architecture covering data, applications, technology, and business processes, promoting agility and interoperability.
• Data Architecture & Modeling: Develop unified data architecture and modeling frameworks to support analytics and AI use cases, ensuring standardization, integration, and reuse of data assets.
• Data Governance & Compliance: Design and implement governance frameworks, privacy policies, and data stewardship practices to ensure compliance and high-quality data across the organization.
• Integration & Engineering: Oversee cloud-based data integration pipelines, modern infrastructure, and technologies for a high-performance unified data platform.
• Business Enablement & Analytics Delivery: Act as a strategic advisor to business teams, translating data needs into technical solutions and enabling AI/ML and automation initiatives with measurable impact.
• Operational Excellence & Security: Promote scalable, automated, and secure data architecture solutions that enhance reliability, efficiency, and resilience.

• Qualifications & Certifications: Bachelor's or Master's in Computer Science, Information Systems, Engineering, or related field; TOGAF/Zachman or cloud/data management certifications are advantageous, with 4+ years in direct solution development.
• Strategic & Leadership Expertise: Senior technology or enterprise architect with 10–12 years experience, skilled in leading large-scale technology and data transformation programs, influencing senior leadership, and aligning IT initiatives with business
• Enterprise & Data Architecture: Deep expertise in enterprise architecture frameworks, data modeling, integration, governance, and quality management at scale.
• Technical Proficiency: Hands-on experience with cloud-native platforms (Azure, AWS, GCP), SaaS/IaaS/PaaS, microservices, APIs, event-driven architectures, and predictive analytics.
• Solution Development & Delivery: Experienced in Agile, Lean, SDLC methodologies, ITIL principles, and cross-functional solution development for applications, middleware, and data platforms.
• Leadership & Communication: Strong business acumen, proven ability to mentor high-performing teams, and excel in communicating complex technical concepts to technical and business stakeholders.