Principal Data Architect

Riskdata Consulting; Singapore; On-site; SGD 250,000 - 360,000; Full time

Job summary

Riskdata Consulting is seeking a Principal Data Architect to lead the design and implementation of enterprise-scale cloud data and AI platforms in Singapore. You will drive data architecture, lakehouse platforms, AI/ML solutions, data governance, and technical strategy across complex enterprise environments, mentoring engineers and partnering with stakeholders to deliver robust data solutions.

The role requires 15+ years of hands-on experience, deep knowledge of Databricks Lakehouse, Azure and

Qualifications

• 15+ years' experience in Data Architecture, Data Engineering or Enterprise Architecture.
• Strong experience with Databricks, Azure/AWS, PySpark, Python and SQL.
• Expertise in Lakehouse, Data Warehousing, ETL/ELT and Data Modelling.
• Experience with AI/ML, GenAI, LLM, MLOps and MLflow.
• Strong knowledge of Data Governance, Data Quality, Security and Privacy.
• Experience with Kafka/Azure Event Hub, CI/CD and DevOps.
• Strong technical leadership and stakeholder management skills.

Responsibilities

• Design enterprise Data & AI architecture and cloud data platforms.
• Lead Databricks Lakehouse, Delta Lake, DLT and Unity Catalog implementations.
• Develop scalable ETL/ELT, data engineering and data modelling solutions.
• Design AI/ML, GenAI and MLOps platforms and production solutions.
• Implement data governance, quality, security, lineage and access controls.
• Lead cloud platforms across Azure and AWS.
• Design real-time data solutions using Kafka, Azure Event Hub and Spark Streaming.
• Drive CI/CD, DevOps and cloud cost optimization for data platforms.
• Provide technical leadership and mentoring to Data Engineers, ML Engineers and Data Scientists.
• Engage stakeholders to define technology roadmaps, solution architecture and delivery plans.

Skills

Databricks

Azure

AWS

PySpark

Python

SQL

Lakehouse

Data Warehousing

ETL/ELT

Data Modelling

AI/ML

GenAI

MLOps

Data Governance

Data Quality

Security & Privacy

Kafka

CI/CD

DevOps

Tools

Databricks Lakehouse

Delta Lake

Unity Catalog

DLT

Azure Event Hub

Spark Streaming

Job description

Job Summary

We are seeking a Principal Data Architect to lead the design and implementation of enterprise-scale cloud data and AI platforms. The role will drive data architecture, Lakehouse platforms, AI/ML solutions, data governance, and technical strategy across complex enterprise environments.

Key Responsibilities

• Design enterpriseData & AI architectureand cloud data platforms.
• LeadDatabricksLakehouse, Delta Lake, DLT and Unity Catalogimplementations.
• Develop scalableETL/ELT, data engineering and data modellingsolutions.
• DesignAI/ML, GenAI and MLOpsplatforms and production solutions.
• Implement data governance, quality, security, lineage and access controls.
• Lead cloud platforms acrossAzure and AWS.
• Design real-time data solutions usingKafka, Azure Event Hub and Spark Streaming.
• DriveCI/CD,DevOpsand cloud cost optimizationfor data platforms.
• Provide technical leadership and mentoring to Data Engineers, ML Engineers and Data Scientists.
• Engage stakeholders to define technology roadmaps, solution architecture and delivery plans.

Requirements

• 15+ years' experiencein Data Architecture, Data Engineering or Enterprise Architecture.
• Strong experience withDatabricks, Azure/AWS, PySpark, Python and SQL.
• Expertise inLakehouse, Data Warehousing, ETL/ELT and Data Modelling.
• Experience withAI/ML, GenAI, LLM, MLOps and MLflow.
• Strong knowledge ofData Governance, Data Quality, Security and Privacy.
• Experience withKafka/Azure Event Hub, CI/CD andDevOps.
• Strong technical leadership and stakeholder management skills.

Preferred:

Databrickscertifications, DAMA-DMBOK, PMP, Power BI/Tableau/Qlik experience.