← AIRR Labs

Data Solutions Architect / Lead Data Engineer

AIRR Labs · Hồ Chí Minh

Type

Full-time

Work mode

On-site

Level

Staff

Industry

Engineering / Mechanical

Salary

Từ 50tr

Location

Quận 1, Hồ Chí Minh, Hồ Chí Minh

Overview

Architecture (50%) — Define data models, schema design, and platform architecture; set the technical direction and standards that the wider organization adopts and builds upon.
Engineering (35%) — Design, build, and optimize ETL/ELT pipelines, author performant SQL and transformation logic, and maintain data quality across TB-scale datasets. This role remains hands-on in production.
Operations (15%) — Monitor platform health, resolve incidents, and ensure the reliability and performance of the cloud data infrastructure.
Architecture:
Own data modelling, schema design, and end-to-end platform architecture.
Establish architecture standards, naming conventions, and documentation practices across the data layer.
Pipelines:
Design, build, and maintain scalable data pipelines across our AWS (S3, Lambda) and data warehouse environment.
Write efficient, optimized SQL for analytics, reporting, and data product use cases.
AI Foundation:
Build the data layer that serves as the foundation for the organization's AI and machine learning roadmap.
Reliability:
Monitor infrastructure health, respond to incidents, and drive root-cause analysis.
Your Skills and Experience

8+ years in data or software engineering, including a track record of owning a data platform or major system end-to-end.
Demonstrated ownership of architecture decisions — build-versus-buy calls, technology selection, and setting technical direction across multiple teams.
Strong SQL skills with experience optimizing complex queries on large datasets (TB-scale).
Hands-on experience with AWS S3 and Lambda. Experience with Databricks or a comparable analytical database (e.g., ClickHouse, Single Store, BigQuery).
Solid understanding of data modelling (star schema, ERD, normalization trade-offs).
Familiarity with ETL/ELT orchestration tools (e.g., Airflow, dbt, Apache Dolphin).
Proficiency in Python or another scripting language for pipeline development.
Prior experience in ecommerce or tech industry preferred.
Why You'll Love Working Here

Opportunity to work on cutting-edge AI technologies that transform how businesses create content.
A collaborative, innovative environment with opportunities for professional growth.

Summary of facts from the official posting. View original ↗

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