Data Architect

• Design data architecture and implement enterprise data platform across ingestion, storage, transformation, serving, and consumption layers.
• Define / drive standards, and implement data modelling, metadata, lineage, ownership, security, quality, governance, and compliance (PDPA).
• Collaborate with business stakeholders or cross functional team to define problems, identify key metrics, and present data-driven recommendations.
• Contribute hands-on to key data platform, integration, and data engineering work, especially in foundational and high-impact areas.
• Design scalable data integration patterns across enterprise applications, operational systems, industrial systems, and analytics environments.
• Design, develop, and maintain trusted, reusable, and efficient data pipelines, curated datasets, and enterprise data assets.
• Partner with AI Engineers to ensure the data platform supports AI/ML use cases, including historical data retention, feature-ready datasets, trusted training data, reproducibility, and consistency between training and production usage.
• Work closely with engineering and infrastructure teams to ensure solutions are practical, scalable, secure, and supportable.
• Provide insights to business units through advanced analytics and visualization.
• Contribute to roadmap planning, architecture governance, technology evaluation, and continuous improvement of the enterprise data platform

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, Data Engineering, Information Systems, or a related discipline.
• Equivalent practical experience will also be considered.
• Minimum 8 years of experience in data architecture, data engineering, data platform development, or similar enterprise data roles.
• Experience working with ERP, operational, industrial, or engineering data sources is advantageous.
• Exposure to data foundations supporting AI/ML, predictive analytics, or intelligent automation is beneficial.
• Strong expertise in data or platform architecture, lead data engineering, or other senior hands-on technical roles.
• Proven experience designing enterprise-scale data platforms, integration patterns, and analytical data structures.
• Hands-on experience building or guiding implementation of data pipelines, platform components, and data engineering solutions
• Solid understanding of enterprise data architecture, including data warehouse, data lake/lakehouse, dimensional modeling, metadata, lineage, governance, and security.
• Strong knowledge of data engineering and integration practices such as ETL/ELT, batch processing, CDC, APIs, event-driven integration, schema evolution, observability, idempotency, and reprocessing.
• Good understanding of data platform requirements for AI/ML workflows, including historical data management, feature engineering, training data preparation, and reproducibility.
• Strong communication and stakeholder management skills, with the ability to collaborate across architecture, engineering, infrastructure, analytics, and AI teams.
• Ability to manage multiple projects and deliverables effectively in a dynamic environment.
• Experience with data warehousing platforms such as Snowflake, BigQuery, Redshift, or Synapse.
• Experience with data lake/lakehouse ecosystems such as Databricks, Delta Lake, Apache Iceberg, or Hudi.
• Experience with data integration/orchestration tools such as Airflow, Dagster, dbt, Kafka, or Spark.
• Familiarity with enterprise databases and integration technologies such as SQL Server, Oracle, PostgreSQL, MySQL, SAP HANA, CDC tools, and API/event-based integration.
• Experience working with cloud or hybrid environments such as AWS, Azure, or GCP.
• Exposure to data governance, cataloging, lineage, and data quality tools

Location(s):

Seatrium (SG) Pte. Ltd.

Pioneer Yard

50 Gul Road, Singapore 629353

(Islandwide transport provided)

Working Hours:

Monday – Thursday: 8:00am – 5.15pm

Friday: 8:00am – 4.30pm

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Please note that your personal data disclosed to Seatrium Limited and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.