DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.
The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.
We’re looking for a motivated Software Engineerwith 3+ years of experience to join our Backend Platform team. You’ll help build the scalable services and core capabilities behind DataHub Cloud and enterprise deployments.
In this role, you’ll work on backend systems that make it easier for organizations to manage, operate, and get more value from their data ecosystem. You’ll partner with experienced engineers to solve meaningful challenges across distributed systems, platform reliability, metadata operations, and customer-facing enterprise experiences.
Design, build, and maintain scalable backend services that power DataHub Cloud and enterprise platform capabilities.
Develop reliable APIs, workflows, and distributed services that support metadata operations, system health, deployment management, and customer-facing platform experiences.
Partner with senior engineers to solve complex technical challenges involving scalability, performance, availability, and distributed systems.
Build features that help customers configure, manage, and operate DataHub across cloud and enterprise environments.
Improve platform visibility by developing capabilities related to system health, usage, performance, and operational insights.
Collaborate closely with product, design, customer success, and engineering teams to deliver thoughtful, reliable product experiences.
Write clean, maintainable, well-tested code; participate in code reviews; and contribute to technical design discussions.
Contribute to a collaborative engineering culture by sharing knowledge and growing through mentorship from experienced backend and platform engineers.
3+ years of professional software engineering experience building and shipping backend, platform, or distributed systems.
Strong programming skills in Python, Java, Go, or a similar backend-focused language.
Experience designing and building APIs, backend services, distributed workflows, or data-intensive applications.
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Working knowledge of containers and cloud-native technologies, including Docker and Kubernetes.
A solid understanding of core computer-science fundamentals, including data structures, algorithms, API design, and system performance.
Familiarity with monitoring, observability, or production-system operations.
Knowledge of backend fundamentals such as networking, security, databases, and service reliability.
Strong problem-solving skills, curiosity, and an ownership-oriented approach to engineering.
Ability to thrive in a fast-moving environment and take projects from idea through production.
Experience building or operating multi-tenant SaaS products.
Experience with customer-facing administration, management, or deployment tools.
Familiarity with data infrastructure, metadata management, data catalogs, analytics platforms, or data governance.
Exposure to microservices, service meshes, or high-scale distributed architectures.
Experience working with enterprise customers, customer success teams, or customer-facing technical organizations.
Interest in AI infrastructure, data governance, or the modern data stack.
Scalable backend services that support enterprise-grade DataHub deployments.
Customer-facing capabilities that make DataHub easier to configure, manage, and operate.
Platform health, monitoring, and operational-insight experiences that help customers understand the performance and reliability of their environment.
Self-service workflows and tools for enterprise customers.
Resilient capabilities for backup, recovery, performance optimization, and scaling high-volume data workloads.
Foundational platform services that enable DataHub Cloud and enterprise customers to manage trusted data and AI context at scale.
We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.
Competitive compensation
We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.
Equity for everyone
Every team member receives an ownership stake in the company. When we grow, you grow with us.
Remote Work
All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid.
Location flexibility
Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.
Comprehensive health coverage
Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.
Flexible savings accounts
We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.
Support for every path to parenthood
Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.
Time off that works for you
We trust you to take the time you need. Our unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.
DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.
By joining our team, you’ll:
If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!
Founded by data industry veterans and backed by LinkedIn, DataHub enables organizations to deploy AI in production through an enterprise-grade metadata platform handling 3M+ PyPI downloads monthly. Leveraging our extensible metadata graph architecture with lineage-driven compliance and API-first design, we've built a unified system for technical teams requiring production-grade discovery, observability, and governance. Our dual solutions—open-source DataHub Core and fully-managed DataHub Cloud—provide what enterprises need for continuous AI & data asset management at scale. DataHub is a unique solution in this space with the following key differentiators:
* Scalability: DataHub offers best-in-class enterprise-grade scalability in connecting to over 80 data sources, offering an embeddable connector framework, and ingesting large volumes and high velocity of metadata.
* Extensibility: DataHub’s highly extensible metadata model offers easy flexibility in adapting to an organization’s unique data landscape, entities, relationships, ownership, and custom metadata descriptors.
* Completeness: DataHub Cloud’s unified platform adds AI-based enhancements and automations for discovery & understanding, quality management, and collaborative governance, allowing users to confidently use and manage data and AI assets.
* Ease of Adoption: Customers of DataHub benefit from the joint innovation, peer support, and growing skill base of an energized community of over 13,000 DataHub practitioners. Its user-friendly interface has a powerful and intuitive design, making it easier for users to navigate and utilize its features without extensive training. The managed service of DataHub Cloud offers dedicated support, improved performance and availability, and secure deployment options to ease adoption across an enterprise.
For engineering teams deploying AI in production, DataHub delivers unified metadata infrastructure across all AI & data assets with enterprise-grade performance.
