DataHub

Site Reliability Engineering Tech Lead

DataHub  •  Palo Alto, CA (Hybrid)  •  3 months ago
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Job Description

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.

About the Role

We're seeking an experienced Site Reliability Engineering (SRE) Tech Lead to join DataHub and drive the reliability, scalability, and operational excellence of our platform offerings. In this role, you'll lead technical initiatives across DataHub Cloud and our emerging enterprise deployment solution, which provides customers with enhanced control and flexibility for running DataHub in their preferred environments.

Key Responsibilities

Technical Leadership & Architecture

  • Design and implement robust, scalable infrastructure solutions for DataHub Cloud and enterprise deployments
  • Lead the technical vision for multi-cloud deployment strategies and distributed system integrations
  • Architect monitoring, observability, and alerting systems across diverse environments
  • Drive best practices for infrastructure as code, configuration management, and deployment automation

Enterprise Platform Development

  • Partner with product and engineering teams to influence the development of advanced deployment capabilities
  • Collaborate with cross-functional teams to help build systems for seamless installation, upgrade, and rollback processes across various environments
  • Influence the design and help implement comprehensive monitoring and health check systems for distributed deployments
  • Partner with engineering teams to help develop self-healing and automated remediation capabilities

Platform Reliability & Operations

  • Establish and maintain SLAs/SLOs for both cloud and enterprise offerings
  • Lead incident response and post-mortem processes to drive continuous improvement
  • Implement chaos engineering practices to proactively identify system weaknesses
  • Optimize system performance, capacity planning, and cost efficiency

Team Leadership & Collaboration

  • Mentor and guide a team of SRE engineers and collaborate with platform engineering teams
  • Work closely with product, engineering, and customer success teams to ensure reliable product delivery
  • Improve on-call practices, runbooks, and knowledge sharing processes
  • Drive cross-functional initiatives to improve overall system reliability

Required Qualifications

  • 8+ years of experience in Site Reliability Engineering, Platform Engineering, or DevOps roles
  • 3+ years of technical leadership experience managing engineering teams
  • Strong expertise with cloud platforms (AWS, GCP, Azure) and infrastructure automation tools
  • Proficiency in containerization technologies (Docker, Kubernetes) and orchestration
  • Experience with infrastructure as code tools (Terraform, CloudFormation, Pulumi)
  • Strong programming skills in Python, Java, or similar languages
  • Deep understanding of monitoring and observability tools (Prometheus, Grafana, Datadog, etc.)
  • Experience with CI/CD pipelines and deployment automation
  • Strong knowledge of networking, security, and database operations in cloud environments

Preferred Qualifications

  • Experience building and operating multi-tenant SaaS platforms
  • Background in developing customer-facing deployment and management tools
  • Knowledge of data infrastructure and metadata management systems
  • Experience with service mesh technologies and microservices architectures
  • Previous experience in a customer-facing technical role or working with enterprise clients
  • Experience with data governance or data catalog platforms

What You'll Build

  • A robust management control plane for enterprise-grade deployments
  • Automated deployment pipelines supporting multiple cloud providers and customer environments
  • Comprehensive monitoring and alerting systems with customer-facing dashboards
  • Self-service tools for customers to manage their DataHub installations
  • Disaster recovery and backup solutions for enterprise deployments
  • Performance optimization and scaling solutions for high-volume data workloads

Benefits and Perks

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!

DataHub

About DataHub

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.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
Palo Alto, California
Year Founded
2021
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