Full-Time

Business Systems Engineer

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$94k - $150kAnnually

Mid

Boston, MA, USA + 1 more

More locations: New York, NY, USA

Hybrid workplace; in-office presence required.

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
NetSuite
Python
SQL
Zendesk
Salesforce
Zapier
Requirements
  • Ability to analyze business requirements, design and configure recommended solution, and communicate technical solutions to various audiences
  • Excellent verbal and written communications skills
  • Strong problem solving and technical skills
  • Prior experience making buy vs build decisions
  • 2+ years as a business system administrator (e.g., NetSuite, Zendesk, Salesforce or Workday) or in a similar role
  • 2+ years leading small to medium sized cross-functional projects from requirements gathering to go-live across Finance, HR, and Sales
  • Prior experience integrating systems using middleware (e.g., Workato, Boomi, Mulesoft, Zapier)
  • You are comfortable with code (e.g., Python, SQL) and are excited to learn and develop across enterprise-grade systems (e.g., Greenhouse, NetSuite, Salesforce, Workday)
Responsibilities
  • Learn how business systems currently function and how they are used within Datadog. Use this knowledge to identify technical gaps and areas for improvement
  • Architect, build, and maintain system integrations and process automations
  • Plan, prioritize, and deliver system enhancements; execute unit, integration, and acceptance testing to meet business requirements
  • Create and maintain internal documentation and processes
  • Collaborate with the Security, Privacy & Compliance teams to ensure business systems adhere to Datadog security, privacy, and compliance standards (eg. GDPR, SOX)

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations track various aspects of their operations, including application performance, security, and network activity. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to analyze performance metrics and detect issues in real-time. This enables businesses to ensure their systems run smoothly and efficiently. Unlike many competitors, Datadog offers a wide range of monitoring solutions that cater to specific needs, such as cloud migration and IoT monitoring, all within a single platform. The company's goal is to help businesses optimize their IT operations and improve overall performance through effective monitoring and analytics.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

16%

1 year growth

36%

2 year growth

55%
Simplify Jobs

Simplify's Take

What believers are saying

  • Datadog's strategic partnerships, such as with JFrog, enhance its platform capabilities and expand its market reach.
  • The launch of new tools like Log Workspaces and Data Jobs Monitoring highlights Datadog's focus on improving user experience and operational efficiency.
  • Significant investments from entities like Riverview Trust Co and participation in funding rounds for AI startups indicate strong financial backing and growth potential.

What critics are saying

  • The competitive landscape in cloud monitoring and analytics is intense, with major players like AWS and Google Cloud posing significant threats.
  • Frequent introduction of new features may lead to complexity and potential integration issues for existing users.

What makes Datadog unique

  • Datadog's comprehensive suite of monitoring tools, including APM, security monitoring, and IoT monitoring, sets it apart from competitors who may offer more limited solutions.
  • Their scalable subscription-based pricing model allows them to cater to both small businesses and large enterprises, providing flexibility that many competitors lack.
  • The recent introduction of features like Live Debugger and Kubernetes Autoscaling demonstrates Datadog's commitment to continuous innovation and addressing real-time operational challenges.

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