Broadcast Engineer

Overview

GAQ
326R146

As a Staff Broadcast Engineer on the Media Productions team at Databricks, you will work closely with the team to ensure all production equipment is maintained and configured to meet the needs of all live events and video production projects hosted by the company. Ensuring the overall health of our audio and video technologies will be critical to making our employees more productive by enabling them to connect in a rich and meaningful way.

You must excel at designing and building robust AV, Broadcast and Studio systems that are interconnected and globally available to support the needs of the business, as well as collaborating with cross functional teams.

In this role you will report to the Sr Manager of Media Productions, based in the Bay Area. The broader team provides collaboration technology and support that makes our employees more productive including, but not limited to, video conferencing, live event support, video production, post-production, digital signage, way finding kiosks, SaaS applications and integrations with Slack and other tools.

• Lead technology design, implementation, and maintenance within the Databricks Event, Training & Studio spaces as well as remote location setups for live events.
• Partner closely with the various Databricks organizations to turn short and long-term business needs into high quality, scalable, secure systems to enable Databrick’s critical initiatives.
• Build a positive relationship with business partners understanding their goals, workflows, and processes. Use your deep system knowledge to drive system strategy/vision, design, and implementation to mutually helpful ends.
• Maintain access control permissions for production equipment and systems.
• Experience with 2110, NDI and SDI based systems.
• Familiarity with MXL architecture
• Maintain inventory and configuration documentation of production equipment.
• Broadcast Routing & Production Switcher Configurations
• Audio DSP configurations and tuning
• Managing production control stations on KVM
• Ensuring production Intercom is available at any office location.
• Management of ingest and playout devices
• Shared storage management (NAS)
• Experience with multi tiered cloud based media storage workflows (Lucid Link, Iconik, High Scale Flics)
• Serve as the point of contact for network related issues.
• Documentation and training on new technologies
• Operate as EIC (Engineer in Charge) during high profile broadcasts
• Ability to comfortably step into other production roles as needed (Audio Console, Video Switch, Stream Eng, Cam operator, etc)

• 8+ years in A/V engineering roles, specifically focused on live broadcast and studio production.
• Experience working on systems located across multiple locations (ideally globally).
• At least 4 years of experience handling SaaS collaboration tools (bonus if managed multiple SaaS collaboration applications)
• Proven track record of having implemented, improved, and supported enterprise class SaaS systems. This includes planning, analysis and design, configuration, development, data migrations, system testing, cutover plan, and production support.
• Demonstrable ability to work autonomously, manage and lead small to medium projects or parts of larger programs requiring program management involvement. Solid grasp of IT fundamentals, including SDLC, agile methodologies, and change management.
• BA/BS, or relevant experience, is required.
• Experience in a dynamic, fast-growing environment.
• Excellent communication skills. Explaining complex technical concepts to others comes easy.

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this…