Lead Analytics Platform Engineer

techstreet; Penang; On-site; MYR 180,000 - 320,000; Full time

Job summary

techstreet in Penang is driving a Global Operations analytics program to scale the data lakehouse and reporting ecosystem. You will own the analytical data architecture, including silver and gold layer data products, dimensional models, and semantic assets, aligned with enterprise standards to enable executive reporting and decision intelligence.

The role designs governed semantic models, KPI frameworks, and reusable logic, establishing data quality controls, metadata lineage, and DevOps

Qualifications

• Bachelor's degree in data engineering, data science, computer science, statistics, or related field; equivalent experience.
• 8+ years of analytics engineering, data warehousing, or data platform development with deep dimensional modeling expertise.
• Expert-level SQL and strong Python/PySpark for scalable data pipelines and lakehouse architectures.
• Experience with modern cloud data platforms such as Microsoft Fabric, Databricks, Snowflake, including orchestration & transformation frameworks.
• Experience architecting enterprise data products, governance frameworks, KPI metadata, and data quality controls for scalable analytics.
• Understanding of ERP processes (SAP ECC MM/PP/QM/SD); Oracle Agile PLM familiarity preferred.
• Ability to influence technical and business stakeholders and communicate architectural concepts.

Responsibilities

• Own the Global Operations analytical data architecture, including silver and gold-layer data products and dimensional models.
• Design and build cleansed, conformed, consumption-ready data products integrating data across enterprise systems.
• Develop semantic models, standardized KPI frameworks, and reusable analytics assets for trusted performance measurement.
• Implement data governance practices including data quality controls, metadata, lineage, certification, and ownership standards.
• Automate and optimize data transformations using SQL, Python, PySpark and cloud-native data engineering services.
• Establish DataOps and platform management practices including CI/CD, monitoring, security, and production support.
• Design AI-ready data products and knowledge assets for advanced analytics and decision intelligence.

Skills

Analytical thinking

Stakeholder communication

Data modeling

Governance understanding

Education

Bachelor's degree in Data Engineering / CS / Statistics or equivalent

Master's degree preferred

Tools

SQL

Python

PySpark

Databricks

Snowflake

Microsoft Fabric

Confluence

Jira

GitHub

Job description

techstreet in Penang is driving a Global Operations analytics program to scale the data lakehouse and reporting ecosystem. You will own the analytical data architecture, including silver and gold layer data products, dimensional models, and semantic assets, aligned with enterprise standards to enable executive reporting and decision intelligence.

The role designs governed semantic models, KPI frameworks, and reusable logic, establishing data quality controls, metadata lineage, and DevOps