Senior Software Engineer (Data Observability)

DataHub • Data Governance & Catalogs • Data Engineering & Migration Services • Python • Java • 2 days ago
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Salary
≈ $137k – $237k per year (Estimated)
Location
Remote (United States)
Seniority
Senior · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 11, 2026.

Overview
Company
Impact
Profile match

DataHub

DataHub, formerly Acryl Data, runs the managed service behind the open-source metadata platform of the same name that was first developed inside LinkedIn and is now used by thousands of engineering organisations. Its product gives data teams a searchable catalog with column-level lineage, ownership records, quality monitoring and access policies across warehouses, streaming systems and business intelligence tools. Customers use it to answer who owns a dataset, what will break when it changes and which reports depend on it before a migration begins.
datahub.com • HQ: San Francisco, United States • Data Engineering & Migration Services • Data Governance & Catalogs • 501-1000 employees • Est. 2020
Tech stack of DataHub
Backed by Bessemer Venture Partners, 8VC, Abstract

Join DataHub as a Senior Software Engineer (Data Observability) and lead technical initiatives to drive the reliability, scalability, and operational excellence of our platform offerings. You will design and implement robust infrastructure solutions, influence the development of advanced deployment capabilities, establish SLAs/SLOs, mentor a team of SRE engineers, and collaborate with cross-functional teams. This remote-friendly position offers equity, parental leave, and comprehensive medical, dental, and vision insurance.

Missions

  • Lead technical initiatives across DataHub Cloud and enterprise deployment solutions, focusing on reliability, scalability, and operational excellence.
  • Design and implement robust, scalable infrastructure solutions, and lead the technical vision for multi-cloud deployment strategies.
  • Establish and maintain SLAs/SLOs for cloud and enterprise offerings, lead incident response and post-mortem processes to drive continuous improvement.

Profil recherché

- 8+ years of experience in Site Reliability Engineering, Platform Engineering, or DevOps roles

- Strong programming skills in Python, Java, or similar languages

- Deep understanding of monitoring and observability tools (Prometheus, Grafana, Datadog, etc.)

- Experience with infrastructure as code tools (Terraform, CloudFormation, Pulumi)

- Experience with CI/CD pipelines and deployment automation

- Strong knowledge of networking, security, and database operations in cloud environments

- Strong expertise with cloud platforms (AWS, GCP, Azure) and infrastructure automation tools

- 3+ years of technical leadership experience managing engineering teams

- Proficiency in containerization technologies (Docker, Kubernetes) and orchestration

- Experience building and operating multi-tenant SaaS platforms

- Background in developing customer-facing deployment and management tools

- Experience with service mesh technologies and microservices architectures

- Knowledge of data infrastructure and metadata management systems

- Previous experience in a customer-facing technical role or working with enterprise clients

- Experience with data governance or data catalog platforms

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