Director

## Senior Data/AI Architect (Lead / Principal / Director) **About the Role** We are seeking a highly skilled Senior Data/AI Architect to provide strategic guidance on designing, developing, and optimizing modern data architectures that support advanced analytics, AI/ML, and real-time data processing. This role focuses on advisory leadership, helping organizations define future-ready data strategies and governance frameworks that enable AI-driven use cases. ## Key Responsibilities **Data Architecture & Strategy** - Define and advise on modern data architectures aligned with business goals, AI initiatives, and analytics. - Guide adoption of cloud-native and hybrid data platforms (AWS, Azure, GCP, Snowflake, Databricks). - Provide leadership on data modeling, warehousing, and lakehouse architectures. - Develop long-term data strategies that promote scalability, innovation, and interoperability. **Data Governance & Advisory** - Lead the development of data governance frameworks, security policies, and compliance standards. - Advise on metadata management, data cataloguing, and data quality initiatives. - Establish strategies for data lineage, accuracy, and reliability. - Define governance roadmaps supporting AI adoption while maintaining regulatory compliance. **Cloud & Emerging Technologies** - Recommend data lake, data mesh, data fabric, and serverless architecture solutions. - Advise on real-time streaming technologies such as Kafka, Kinesis, and Pub/Sub. - Design AI/ML-ready data architectures supporting feature engineering and model development. - Evaluate modern data integration tools, graph databases, and NoSQL platforms. **Leadership & Stakeholder Management** - Act as a trusted advisor to executive stakeholders, translating complex data challenges into business outcomes. - Collaborate with data scientists, engineers, analysts, and business leaders. - Drive innovation and future-ready data strategies. - Assess emerging technologies and industry best practices. ## Requirements **Qualifications** - Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. - 10-16 years of experience in data architecture, data engineering, or cloud data solutions. - Ability to travel across the Asia-Pacific region. **Technical Expertise** - Deep knowledge of AWS Redshift, Azure Synapse, Google BigQuery, Snowflake, and related platforms. - Strong experience with data governance, MDM, and compliance frameworks. - Knowledge of AI-ready data architectures and ML workflows. - Expertise in ETL/ELT strategies, data integration, and automation. - Familiarity with TOGAF, Zachman, or similar architecture frameworks. - Experience with real-time streaming technologies including Kafka, Kinesis, and Pub/Sub. **Preferred** - Cloud certifications (AWS, Azure, or GCP). - Experience with Data Mesh and Data Fabric architectures. - Knowledge of MongoDB, Neo4j, Cassandra, or similar technologies. - Understanding of Responsible AI, AI governance, and data ethics.