Director, Data Security Engineering (Digital Trust)

Coupang · Seoul, South Korea · по договорённости

Компания
Coupang
Город
Seoul, South Korea
Зарплата
по договорённости
Уровень
lead
Формат
full_time
Иностранная компания
нанимает русскоязычных

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billiondollar e-commerce industry from the ground up. We are one of the fastest-growing ecommerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Job Overview

The Director of Data Security Engineering is responsible for defining and executing the organization’s data protection strategy, ensuring the confidentiality, integrity, and availability of sensitive data across all environments. This leader will build and scale a modern data security engineering program, driving innovations in data protection technologies, automation, and zero trust practices to safeguard enterprise and customer data.

This role partners closely with security architecture, privacy, engineering, legal, and business stakeholders to operationalize data security across cloud, SaaS, and on-premises ecosystems.

Key Responsibilities

Responsibilities will include, but not be limited to, the following:

Strategy & Leadership

Define and execute the enterprise data security strategy aligned with business objectives and risk posture.

Build, lead, and mentor a high-performing data security engineering team.

Establish multi-year roadmaps for data protection capabilities (e.g., data discovery, classification, encryption, DLP).

Act as a subject matter expert and executive advisor on data security risks and controls.

Data Protection Engineering

Design and implement scalable controls for:

Data discovery, classification, and labeling

Data Loss Prevention (DLP) across endpoints, networks, SaaS, and cloud

Encryption and key management (at rest, in transit, in use)

Tokenization, masking, and anonymization

Lead engineering efforts for securing structured and unstructured data across:

Cloud platforms (AWS, Azure, GCP)

SaaS applications (M365, Salesforce, etc.)

Data platforms (databases, data lakes, warehouses)

Cloud & Modern Data Security

Drive security integration into modern data architectures (data lakes, AI/ML pipelines, GenAI systems).

Implement and mature Zero Trust data access models.

Ensure secure data usage in analytics, APIs, and distributed systems.

Risk, Compliance & Privacy Alignment

Align data security controls with regulatory and compliance frameworks

Partner with Privacy and Legal teams to embed privacy-by-design and data minimization principles.

Support audit readiness and remediation efforts related to data protection.

Threat Protection & Incident Response

Collaborate with threat detection & response teams to identify and mitigate data exfiltration risks.

Develop controls and telemetry to detect insider threats and anomalous data access.

Lead post-incident reviews related to data security breaches.

Stakeholder Collaboration

Work cross-functionally with:

Security Architecture & Platform Engineering

Application & Infrastructure Engineering

Data Engineering & Analytics teams

Lega

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