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Open nowPosted yesterday

Principal Data Architect

MyCareersFuture91,045 open roles

Pay
SGD 11,500 – SGD 13,500 a Monthly
Where
Central, Singapore
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Your applicationOpen nowPrincipal Data ArchitectMyCareersFuture · Central, Singapore
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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 1 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted yesterday

MyCareersFuture median: 1 days open

The posting

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.

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