SAS Data Architect: Lead Data Warehouse & Analytics

TipTopJob.com Malaysia; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Genting Malaysia, a leading hospitality and entertainment group, seeks a Technical Lead for Enterprise Data Warehouse architecture and data management. You will plan, design, and govern data pipelines, lead the Data Engineering Team, and align analytics solutions with business needs across the organization.

The role requires 8+ years in data architecture, strong SAS and SQL skills, and experience in data governance and BI projects.

Qualifications

• Bachelor's degree in CS/IT/Data Science or related field.
• 8+ years in data architecture, DW/BI, data lake, or data management.
• Proficient in data warehouse design, ETL, tuning and architecture.
• Strong SAS programming skills (Base SAS, SAS DI Studio, SAS Macro).
• Advanced SQL skills across SQL Server, Oracle, PostgreSQL.
• Experience in data governance and data quality frameworks.

Responsibilities

• Plan, define and establish Enterprise Data Warehouse architecture aligned with Enterprise Data Management strategy.
• Lead and manage Data Engineering Team delivering secured, reliable data solutions.
• Assess, develop and implement new data management and integration capabilities.
• Establish development guidelines, standards, and best practices for pipelines.
• Lead Data Engineering and BI projects, gather requirements and analyze data sources.
• Review design docs: integration specs, data models, data marts, BI dashboards.
• Oversee system support and ensure high SLA with end users.
• Guide team to maintain high performance and knowledge centralization.

Skills

Data architecture

Data Warehousing

ETL design

SAS programming

SQL

BI & analytics

Education

Bachelor's degree in CS/IT/Data Science

Tools

SAS DI Studio

SAS Macro

PostgreSQL

Oracle

SQL Server

Job description

Genting Malaysia, a leading hospitality and entertainment group, seeks a Technical Lead for Enterprise Data Warehouse architecture and data management. You will plan, design, and govern data pipelines, lead the Data Engineering Team, and align analytics solutions with business needs across the organization.

The role requires 8+ years in data architecture, strong SAS and SQL skills, and experience in data governance and BI projects.