Data System Architect, Data Engineering & Monetization

Remote

Apply with AI Apply

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Software Development, DevSecOps, AIIndustries

Requirements

Candidates should have experience architecting large-scale distributed data systems in complex, regulated domains with unified platforms integrating cloud-native compute, orchestration, and semantic modeling. Demonstrated leadership in building multi-modal data services with strong developer experience principles, focusing on monetization, governance, and data product lifecycle management is required. Hands-on expertise with modern data stack technologies including Python, Docker, Airflow, Trino, Postgres, distributed query engines, and graph-based metadata systems is essential, along with advanced knowledge bridging cloud and on-premises deployments with automation and developer self-service. Deep understanding of data processing paradigms and standards including synchronous vs. asynchronous processing, schema management, logical data modeling, and formats like OpenTelemetry, OpenMetadata, and OpenLineage is also necessary. Experience with AI-driven architectures and emerging technologies is preferred.

Responsibilities

The Data System Architect will drive the architectural vision for scalable, distributed data systems across SaaS and self-managed deployments, designing database stack solutions to optimize performance and scalability. They will define enterprise data product standards and governance frameworks, including data lineage, SDLC, versioning, and compliance practices. Responsibilities include building governed, monetizable data services and APIs, partnering with teams to embed AI-driven patterns into data infrastructure, and architecting event-driven systems and cross-stack orchestration. The role involves designing end-to-end data lifecycle architecture, establishing CI/CD best practices for data systems, and transforming ambiguity into strategic roadmaps while leading complex technical engagements.

Skills

Data Architecture

Distributed Systems

Data Platform Evolution

SaaS

Self-managed Deployments

OLTP

OLAP

Data Governance

Data Lineage

SDLC

Data Monetization

API Design

GitLab

Unified DevOps platform for software development

About GitLab

GitLab offers a DevOps platform that simplifies the software development process by providing a single application for collaboration, visibility, and speed. The platform integrates various tools needed for software development, which helps teams manage their projects more efficiently without juggling multiple tools. This allows companies to concentrate on enhancing their products instead of spending too much time on builds. GitLab serves a wide range of clients, including large corporations from different industries, demonstrating its versatility. The company operates on a subscription-based model, where clients pay for access to the platform, which includes features for continuous integration and deployment. GitLab also provides free trials and regularly updates its platform to deliver ongoing value to its users. By customizing its offerings and partnering with other technology providers, GitLab aims to enhance its ecosystem and drive revenue.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$421.8MTotal Funding

IPOCompany Stage

Consulting, Enterprise SoftwareIndustries

1,001-5,000Employees

Benefits

Spending Company Money

Equity Compensation

Life Insurance

Financial Wellness

Paid Time Off

Growth and Development Benefit

GitLab Contribute

Business Travel Accident Policy

Immigration

Employee Assistance Program

Incentives

All-Remote

Part-time contracts

Meal Train

Fertility & Family Planning

Parental Leave

Risks

AI-powered coding assistants like Claude pose a competitive threat to GitLab's platform.

Potential sale to Datadog may lead to strategic shifts misaligned with customer expectations.

Integration of Oxeye may distract from GitLab's core DevOps offerings.

Differentiation

GitLab offers a unified DevOps platform, reducing complexity in software development.

The platform integrates tools for collaboration, visibility, and speed, enhancing development processes.

GitLab's open-source model fosters continuous innovation with a large developer community.

Upsides

Acquiring Oxeye enhances GitLab's cloud security, appealing to security-conscious enterprises.

Partnership with Ooredoo Kuwait expands GitLab's influence in the telecommunications sector.

Potential sale to Datadog could create strategic synergies and expand market reach.

Land your dream remote job 3x faster with AI

Try Jobo Free