Full-Time

Designated Support Engineer

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$102.4k - $181.2kAnnually

+ Annual Performance Bonus + Equity

Mid

San Francisco, CA, USA

Category
Customer Success
Customer Support
Customer Success & Support
Required Skills
Python
Data Science
Java
Scala
Databricks
Data Analysis
Requirements
  • 3 to 5 years of customer facing experience as Technical Account Manager, Designated Support Engineer or in related areas like implementation, Technical Support, or Solutions Architect
  • Minimum 3 years’ experience designing and developing, testing, and sustaining Python/Java/Scala based applications required
  • Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
  • You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders.
Responsibilities
  • Work with Databricks' largest strategic accounts to provide high touch support experience
  • Manage one or multiple accounts simultaneously
  • Project manage all open support cases on a daily basis, sometimes multiple times a day to ensure forward progress.
  • Facilitate correspondence with Engineering, Product Team, SMEs, Accounts Teams and inspire active engagement to ensure forward progress on support cases.
  • Directly engage on business impacting situations and ensure recovery of functionality for the customer.
  • Review upcoming customer events and planned production activities to identify potential problems, then plan and implement solutions
  • Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays and mitigate issues
  • Own and drive escalated issues blocking production success
  • Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems
  • Carry out regular review of customer cases to identify trends
  • Handle challenging situations in a fast paced environment
  • Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders
  • Serve on and actively participate in customer steering committee meetings
  • Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools
  • Pilot new programs and drive continuous improvement initiatives for production customers
  • Participate in our 24x7 program

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. The goal of Databricks is to empower organizations to leverage their data effectively for better decision-making.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$3.9B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

6%

1 year growth

35%

2 year growth

74%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for data lakehouse solutions boosts Databricks' market potential.
  • Acquisition of Tabular aligns with the trend towards open-source data management tools.
  • Expansion in AI and machine learning applications benefits Databricks' key sectors.

What critics are saying

  • Increased competition from Voyage AI challenges Databricks' market position in AI analytics.
  • Integration of Tabular may pose challenges and distract from core operations.
  • Significant investment in DBRX model could impact finances if returns are not met.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse.
  • The platform supports collaborative data science and machine learning workflows.
  • Databricks integrates with various cloud services for seamless data management and analysis.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave