Data Architect

E-Outsource Asia; Kampung Malaysia Tambahan; On-site; MYR 180,000 - 360,000; Full time

Job summary

E-Outsource Asia in Kuala Lumpur is seeking a Senior Data Architect to design and implement end-to-end data architectures, aligning with business analytics and AI readiness.

You will build scalable data extraction and ingestion pipelines from SAP backends into cloud platforms and Databricks, drive data governance, and collaborate with clients and project teams to define target-state architectures and drive platform adoption.

Qualifications

• 10+ years of hands-on experience in Data Analytics and Data Engineering.
• Experience building enterprise lakehouse environments using Databricks and Apache Spark.
• Understanding of SAP as a source system and integrating SAP BW/ERP data into analytics pipelines.

Responsibilities

• Design, implement, and maintain end-to-end data architectures aligned with analytics goals.
• Architect data extraction and ingestion pipelines from SAP backends into cloud platforms and Databricks.
• Evaluate and transition analytical workloads to modern data platforms.
• Establish and enforce enterprise data governance including lineage, quality checks, metadata management, and compliance.
• Collaborate with clients, project teams, and business leaders to define target-state architectures and drive platform adoption.

Skills

Data analytics

Data engineering

End-to-end data architectures

Data governance

Tools

Databricks

Apache Spark

Cloud platforms

Job description

• Design, implement, and maintain end-to-end data architectures, ensuring they align with business objectives, analytics goals, and AI/ML readiness.
• Architect seamless, scalable data extraction and ingestion pipelines from legacy enterprise systems (specifically SAP backends) into target cloud platforms and Databricks.
• Evaluate existing data landscapes and drive the transition of analytical workloads into modern data platforms.
• Establish and enforce enterprise data governance practices, including data lineage, data quality checks, metadata management, and compliance standards.
• Serve as the primary technical data advisor. Collaborate closely with clients, project teams, and business leaders to define target-state data architectures and drive platform adoption.

Profile

• 10+ years of hands-on experience in Data Analytics and Data Engineering.
• Proven track record architecting and building out enterprise lakehouse environments using Databricks, Apache Spark, and cloud-based data engineering platforms.
• Understanding of SAP as a source system, with extensive experience integrating complex SAP BW (Business Warehouse) or SAP ERP data structures into modern analytics pipelines.