Full Time Data Platform Architect (Manager) Jobs, Salary up to MYR 8,000 in Tune Protect Group Federal Territory - Maukerja

What's In It For You

• Lead the development of a central data platform across the business
• Drive the shift from manual reporting to automated, self-service analytics
• Build a single source of truth for Customer, Sales, and Claims data
• Enable AI use cases like fraud detection and customer insights
• Guide and uplift BI and data capabilities
Deliver visible impact on business decision-making

About This Opportunity

Tune Protect Group Berhad is looking for a Data Platform Architect to lead its data transformation journey.

In this role, you will design and build a central data platform that supports reporting, analytics, and future AI use cases. Working across business and technology teams, you will play a critical role in establishing a scalable data ecosystem and embedding best practices in data engineering, governance, and architecture.

This is a high-impact role with opportunities to influence data strategy, shape platform direction, and build capabilities that support long-term business growth.

What You’ll Do

• Design and implement a scalable enterprise data platform (e.g. Snowflake, Azure, Databricks)
• Build unified data models across key domains such as Customer, Sales, and Claims
• Develop and manage data pipelines (ETL/ELT) from multiple internal and external systems
• Ensure data quality, consistency, governance, and security across the platform
• Enable and support Power BI datasets and self-service reporting capabilities
• Structure and prepare data for AI and advanced analytics use cases (e.g. fraud detection, customer insights)
• Collaborate with business stakeholders to understand data needs and deliver effective solutions
• Guide and mentor the BI team in building reusable, scalable data products
Drive best practices in data architecture, engineering, and governance

What We're Looking For

Essential Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• 8+ years of experience in data engineering, BI, or data platform development
• Strong experience with cloud data platforms (e.g. Snowflake, Azure, Databricks)
• Advanced SQL and strong data modelling expertise (dimensional, star schema, etc.)
• Proven experience building and managing data pipelines and integrations
• Familiarity with BI tools such as Power BI or similar platforms
• Solid understanding of data governance, data quality, and architecture principles
Strong communication and stakeholder management skills

Nice to Have

• Experience in the insurance or financial services industry
• Familiarity with AI/ML data preparation or supporting data science workflows
• Hands-on experience with modern data tools (e.g. dbt, Airflow, Kafka)
• Knowledge of data governance frameworks and regulatory requirements
• Experience designing data lakes or lakehouse architectures
• Exposure to API integrations and real-time/streaming data pipelines