senior software engineering Solutions Architect ic
$167,000 – $244,000
USD per year

About this role

Datadog is hiring a senior-level Solutions Architect in the software engineering function based in Boston, MA | New York City, NY. The posting calls out experience with Python, Rust, Kubernetes, Elasticsearch. Compensation is listed at $167,000–$244,000 per year.

Role
Solutions Architect
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Boston, MA | New York City, NY
Department
Product Solutions Architecture

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Job description

from Datadog careers

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

  • Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
  • Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
  • This is an excerpt. Read the full job description on Datadog careers →
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