Senior Data & AI Architect Lead

JAC RECRUITMENT PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

JAC Recruitment Pte. Ltd. is seeking a senior data architect to define enterprise data strategies and design modern data architectures aligned with business goals.

You will advise clients on cloud and hybrid data platforms and lead data governance and AI governance initiatives across AWS, Azure, GCP, Snowflake, and Databricks. The role focuses on scalable AI-ready architectures, data lakes, lakehouses, and real-time data solutions, while engaging C-suite stakeholders to guide data and AI

Qualifications

• 10-16 years of experience in Data Architecture, Data Engineering, or Cloud Data Platforms.
• Strong expertise in cloud data technologies, data governance, and enterprise data strategy.
• Experience with AI/ML-enabled data platforms, ETL/ELT, and real-time streaming technologies (Kafka, Kinesis, Pub/Sub).
• Familiarity with architecture frameworks such as TOGAF or Zachman.
• Ability to engage senior business and technology stakeholders.
• Open to travel across Southeast Asia and APAC.

Responsibilities

• Define enterprise data strategies and modern data architectures aligned with business goals.
• Advise clients on cloud and hybrid data platforms across AWS, Azure, GCP, Snowflake, and Databricks.
• Lead data governance, data quality, metadata management, and AI governance initiatives.
• Design scalable AI-ready architectures, data lakes, lakehouses, and real-time data solutions.
• Engage C-suite stakeholders and provide strategic guidance on data and AI transformation.
• Evaluate emerging technologies and drive innovation across enterprise data ecosystems.

Skills

Enterprise data strategy

Cloud data platforms

Data governance

AI governance

Stakeholder engagement

Real-time data & streaming

Tools

AWS

Azure

GCP

Snowflake

Databricks

Kafka

Kinesis

Pub/Sub

Job description

Key Responsibilities

• Define enterprise data strategies and modern data architectures aligned with business goals.


• Advise clients on cloud and hybrid data platforms across AWS, Azure, GCP, Snowflake, and Databricks.


• Lead data governance, data quality, metadata management, and AI governance initiatives.


• Design scalable AI-ready architectures, data lakes, lakehouses, and real-time data solutions.


• Engage C-suite stakeholders and provide strategic guidance on data and AI transformation.


• Evaluate emerging technologies and drive innovation across enterprise data ecosystems.

Requirements

• 10-16 years of experience in Data Architecture, Data Engineering, or Cloud Data Platforms.


• Strong expertise in cloud data technologies, data governance, and enterprise data strategy.


• Experience with AI/ML-enabled data platforms, ETL/ELT, and real-time streaming technologies (Kafka, Kinesis, Pub/Sub).


• Familiarity with architecture frameworks such as TOGAF or Zachman.


• Ability to engage senior business and technology stakeholders.


• Open to travel across Southeast Asia and APAC.

Preferred

• Certifications across AWS, Azure, or GCP.


• Experience with Data Mesh, Data Fabric, Graph Databases, and NoSQL platforms.


• Exposure to Responsible AI, AI Governance, and Data Ethics frameworks.

Why Apply?

• Advise leading enterprises on large-scale Data & AI transformations.


• Influence executive-level technology and data strategy decisions.


• Work on cutting-edge cloud, analytics, and AI initiatives across APAC.