Principal Data Architect at UNISYNC SYSTEMS PTE. LTD.

UNISYNC SYSTEMS PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

UNISYNC SYSTEMS PTE. LTD. in Singapore seeks a Principal Data Architect to lead the design and implementation of enterprise-scale cloud data and AI platforms.

You will drive data architecture across lakehouse platforms, AI/ML solutions, data governance, and technical strategy, mentoring data engineers and scientists while engaging stakeholders to define roadmaps and delivery plans. The role requires deep hands-on expertise with Databricks, Azure, AWS, and modern data tooling; candidates should

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 modeling 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

Data architecture

Databricks

Azure

AWS

PySpark

Python

SQL

Lakehouse

AI/ML

GenAI

LLM

MLOps

MLflow

Data governance

Data quality

Security

Privacy

Kafka

Event Hub

CI/CD

DevOps

Leadership

Stakeholder management

Tools

Databricks

Delta Lake

DLT

Unity Catalog

Kafka

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 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 modeling 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.

Requirements

• 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.

Preferred: Databricks certifications, DAMA-DMBOK, PMP, Power BI/Tableau/Qlik experience.