Senior Database Developer

About DNK

DNK is transforming how real estate is managed across APAC.

DNK's AI-driven, end-to-end platform empowers property owners, managers, and investors to eliminate inefficiencies, unify operations, and unlock new value. By replacing fragmented systems and overcoming limited tech adoption, DNK delivers a unified platform that blends global best practices with deep local expertise.

At its core is Investment Manager, an intuitive tool for analyzing and managing large-scale real estate portfolios. Supporting both residential and commercial assets, it consolidates data into a single source of truth that enables transparent performance tracking, smarter decisions, enhanced reporting, and improved operational efficiency.

Complementing Investment Manager, DNK offers a fully integrated property management suite including: Leasing Manager, Property Manager, and Resident Portal, designed to streamline operations and provide real-time data to Investment Manager for local and international managers alike to better manage their assets.

Founded in 2020, DNK today manages over US$4.5 billion in assets across the region, with offices in Tokyo and Seoul.

Your Role

As a Senior Database Engineer, you will be responsible for designing, optimizing, and maintaining the core data infrastructure that powers our digital real estate solutions. You will collaborate closely with product managers, designers, and engineering teams to ensure data integrity, scalability, and performance across multiple environments. Your role will be critical in architecting robust database systems, streamlining data flows, and enabling seamless integrations between platforms to support rapid growth and analytical excellence.

How We Work

• As a Senior Database Developer, you will be part of a squad.
• Each squad consists of 4–6 members, including a Product Manager, Product Designer, and Developers.
• Squads operate autonomously, like small startups, taking full ownership of their work.
• We validate our hypotheses quickly through rapid execution, driving incremental yet impactful changes.
• Decision-making is data-driven, and we continuously measure and learn from our product performance.

Who We're Looking For

• Understands the importance of data architecture, performance, and scalability in high-traffic production systems.
• Is skilled in database schema design, query optimization, and performance tuning.
• Has experience managing data migrations, replication, backups, and recovery strategies across multiple environments.
• Has hands-on experience with cloud-based database solutions (e.g., AWS RDS, Aurora, Azure SQL) and infrastructure automation.
• Is comfortable working with ETL pipelines, data validation, and monitoring tools to ensure accuracy and consistency.
• Has a strong understanding of SQL, version control, and security principles.
• Business-level English and Japanese (English used to communicate with the Korea team).

Tech Stack and Tools

• DB: MySQL, PostgreSQL, SQL, DynamoDB, ETL/ELT pipelines, schema governance, and performance tuning
• CI/CD: GitHub Actions, AWS CodeBuild, automated schema validation and deployment workflows
• Monitoring & Observability: Amazon CloudWatch, DataDog, query profiling, and slow query analysis
• Tracking & Documentation: Jira, Confluence, data change management, and cross-team release coordination

Preferred Qualifications

• Experience working on PropTech, SaaS, or large-scale data platforms.
• Familiarity with schema governance, data lineage, and monitoring tools such as CloudWatch, DataDog, or Metabase.
• Proficiency in scripting (e.g., Python, Bash) for data automation, ETL processes, and query optimization.
• Business-level English communication skills; Japanese or Korean proficiency is a plus.
• AWS Certified Database – Specialty or equivalent certifications are advantageous.
• Degree in Computer Science, Information Systems, or a related field.