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Databricks

Builds cloud software for data analysis and AI

Staff Unified Communications Engineer

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 8 years supporting enterprise unified communications, workplace technology, or enterprise infrastructure environments.
  • Strong expertise in enterprise voice and conferencing systems.
  • Strong expertise in conference room and workplace audiovisual systems.
  • Strong expertise in networking fundamentals, including quality of service and media optimization.
  • Strong expertise in troubleshooting complex communication environments.
  • Strong expertise in supporting large-scale global environments and fast-paced growth.
  • Strong expertise in managing communication infrastructure for office buildouts and workplace deployments.
  • Strong expertise in automation and scripting tools.
  • Strong communication and stakeholder management skills.
  • A Bachelor of Arts or Bachelor of Science degree, or equivalent practical experience.
  • Experience leading large-scale communication or workplace infrastructure initiatives.
  • Ability to build scalable systems and operational standards across global environments.
  • Ability to operate with high ownership and autonomy amid ambiguity.
  • Ability to identify risks proactively and drive reliability for business-critical systems.
  • Ability to manage aggressive timelines across multiple projects and stakeholders.
  • Ability to influence technical direction across teams without direct authority.

Responsibilities

  • Own the deployment, reliability, and evolution of enterprise voice, conferencing, and workplace communication systems.
  • Lead high-impact infrastructure initiatives supporting employees, executives, and global offices.
  • Ensure seamless communication experiences across conference rooms, executive spaces, and workplace environments.
  • Partner with Product Management, Workplace, Real Estate, Construction, Networking, and Facilities teams to support global office buildouts.
  • Lead communication and workplace technology deployments for new offices, renovations, and infrastructure upgrades.
  • Develop scalable standards for conference rooms, executive environments, and workplace communication systems.
  • Manage multiple concurrent deployments while maintaining operational excellence across existing offices.
  • Design and support enterprise voice and audiovisual infrastructure connectivity, conferencing systems, and workplace integrations.
  • Troubleshoot complex communication and media issues across global environments.
  • Build automation and operational tools to improve scalability, reliability, and efficiency.
  • Work with Infrastructure, Security, Networking, Workplace, and Executive Support teams to define and deliver communication solutions.
  • Coordinate vendors, telecommunications providers, and integration partners to execute large-scale infrastructure projects.
  • Continuously improve the reliability, scalability, and quality of workplace communication experiences.
  • Create operational standards, documentation, and deployment playbooks that scale globally.
  • Mentor team members and help elevate engineering practices across the organization.

Desired Qualifications

  • Experience supporting executive environments or large-scale conference room deployments.
  • Familiarity with enterprise audiovisual design and workplace technology standards.
  • Relevant certifications in collaboration, networking, audiovisual, or telecommunications technologies.
  • Experience with automation, observability, or Infrastructure-as-Code practices.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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