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.