Data Platform Architect (Backend+ Data Infrastructure)

GoGeek; Kuala Lumpur; On-site; MYR 100,000 - 130,000; Full time

Job summary

A technology firm in Kuala Lumpur seeks a Lead Data Engineer to lead the design and architecture of data systems. The ideal candidate will have over 6 years of experience in software or data engineering and strong Golang backend development skills. Responsibilities include optimizing data warehouses for analytics, building microservices, and mentoring engineers. This role offers opportunities for leadership and significant impact on the data platform strategy.

Qualifications

• 6+ years of professional experience in software engineering or data engineering.
• Strong background in Golang backend development at scale.
• Proven expertise with at least one data warehouse or OLAP platform.

Responsibilities

• Lead design and architecture of data systems and backend services.
• Architect and optimize data warehouse / OLAP systems.
• Build Golang microservices/APIs to integrate data.

Skills

Golang backend development

Data architecture

SQL and query tuning

Data warehouse/OLAP platforms

Mentoring or guiding teams

Cloud infrastructure (GCP, AWS, Azure)

Tools

BigQuery

StarRocks

Snowflake

Redshift

Job description

Lead design and architecture of data systems and backend services that ingest and process large volumes of data daily.

Architect and optimize data warehouse / OLAP systems (e.g., BigQuery, StarRocks, Snowflake, Redshift) for analytics and reporting.

Build Golang microservices/APIs to integrate data with products and internal tools.

Define standards for data modeling, governance, and security.

Implement strategies for query performance optimization and cost reduction.

Own monitoring, scaling, and disaster recovery strategies for data infrastructure.

Mentor mid-level engineers and guide best practices.

Partner with leadership on long-term data platform strategy.

Responsibilities

• Lead design and architecture of data systems and backend services that ingest and process large volumes of data daily.
• Architect and optimize data warehouse / OLAP systems (e.g., BigQuery, StarRocks, Snowflake, Redshift) for analytics and reporting.
• Build Golang microservices/APIs to integrate data with products and internal tools.
• Define standards for data modeling, governance, and security.
• Implement strategies for query performance optimization and cost reduction.
• Own monitoring, scaling, and disaster recovery strategies for data infrastructure.
• Mentor mid-level engineers and guide best practices.
• Partner with leadership on long-term data platform strategy.

Requirements

• 6+ years of professional experience in software engineering or data engineering.
• Strong background in Golang backend development at scale.
• Proven expertise with at least one data warehouse or OLAP platform (e.g., BigQuery, StarRocks, Snowflake, ClickHouse, Redshift).
• Advanced SQL and query tuning skills.
• Strong understanding of data architecture (warehouses, lakehouses, pipelines).
• Experience with cloud infrastructure (GCP, AWS, or Azure).
• Leadership experience in mentoring or guiding teams.