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 Engineer with 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.
What You’ll DoDesign, 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.
Why Join Us
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:
- Tackle high-impact challenges at the heart of enterprise AI infrastructure
- Ship production systems that power real-world use cases at global scale
- Collaborate with a high-caliber team of builders who’ve scaled some of the most influential data tools in the world
- Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more
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!
Skills Required
- 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
- Understanding of data structures, algorithms, API design, and system performance
- Familiarity with monitoring, observability, or production-system operations
- Knowledge of networking, security, databases, and service reliability
- Strong problem-solving skills, curiosity, and an ownership-oriented approach to engineering
- Ability to take projects from idea through production in a fast-moving environment
- 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
What We Do
Founded by the leaders that built data teams at LinkedIn and Airbnb, Acryl Data enables you to take back control of your fragmented data stack. We do this by driving the #1 open source Metadata Platform DataHub, which has a community of 8,000+ data practitioners and is deployed in 1,000+ companies. Acryl DataHub is a third-generation streaming metadata platform that integrates with 50+ tools (dbt, Kafka, Snowflake, Airflow, Looker, etc) in the data stack to enable data discovery, data lineage, data governance, and data observability. ✅ Connect to your data sources within minutes, and gain end-to-end visibility. ✅ Power mission-critical workflows with a SOC-2-compliant platform. ✅ Bring data and business teams together with a single source of truth to create governed data products. Powering data teams at Notion, Zendesk, Riskified, and many more!
