Full-Time

Staff Technical Solutions Engineer

Updated on 4/15/2025

Databricks

Databricks

10,001+ employees

Unified data platform for analytics and AI

Compensation Overview

$121.7k - $186.7k/yr

+ Annual Performance Bonus + Equity

Senior

Dallas, TX, USA

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Microsoft Azure
Python
Data Science
Apache Spark
SQL
Java
AWS
Linux/Unix
Databricks
Data Analysis
Google Cloud Platform
Requirements
  • Minimum 6 years' experience in supporting a cloud, database or big data product.
  • Expert in two of the below areas and has experience with the rest of them: SQL, Linux/OS troubleshooting, AWS, Azure or GCP related services, Big Data/Spark/Other distributed systems, Python or Java.
  • Comfortable with black box troubleshooting.
  • Bachelor's degree in Computer Science or a related field is required.
Responsibilities
  • Troubleshoot and resolve complex customer issues related to the Databricks Unified Analytics Platform by analyzing the core component metrics and logs.
  • Provide suggestions and best practice guidance for improving performance in customer-specific environments and providing product improvement feedback.
  • Help the support team with detailed troubleshooting guides and runbooks.
  • Contribute to automation and tooling programs to make daily troubleshooting efficient.
  • Partner with the engineering team and spread awareness of upcoming features and releases.
  • Identify and contribute supportability features back into the product.
  • Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests.
  • Participate in weekend and weekday on-call rotation.

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. Databricks aims to simplify data management and analytics for its users, making it easier for them to leverage their data for informed decision-making.

Company Size

10,001+

Company Stage

Debt Financing

Total Funding

$19.3B

Headquarters

San Francisco, California

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • $15B funding supports AI product development and global expansion for Databricks.
  • BladeBridge acquisition strengthens Databricks' position in data warehouse migrations.
  • Rising demand for real-time analytics presents growth opportunities in finance and healthcare.

What critics are saying

  • $5.25B debt financing increases financial risk and pressure for rapid returns.
  • BladeBridge integration challenges may disrupt Databricks' data warehouse migration services.
  • Rapid expansion could strain resources, affecting service quality and customer satisfaction.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • Integration with OpenAI's GPT models enhances Databricks' natural language processing capabilities.
  • Collaboration with Meta on Llama boosts Databricks' open-source AI offerings.

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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

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

1%
TechNews
Mar 10th, 2025
Databricks AI Funding Surpasses $10B

According to PitchBook, AI investment has driven U.S. startup funding to its highest in three years, with over $30 billion raised this season and $50 billion ongoing. U.S. startups' Q4 2024 funding hit $80 billion, the highest since 2021. OpenAI is in talks with SoftBank to raise $40 billion at a $260 billion valuation, potentially the largest ever, surpassing Databricks' $10 billion. In 2024, U.S. AI startups raised a record $97 billion, 46.4% of total U.S. startup funding.

Intelligence360
Feb 10th, 2025
Databricks Secures $15B for AI Expansion

Databricks announced the completion of a $10 billion Series J funding round and a $5.25 billion debt financing, valuing the company at $62 billion. Key investors include QIA, Temasek, and Meta. The funds will be used for AI product development, acquisitions, and global expansion. The credit facility, led by JPMorgan Chase, includes a $2.5 billion revolver and a $2.75 billion term loan. CEO Ali Ghodsi highlighted the importance of data intelligence in leveraging generative AI.

PR Newswire
Feb 4th, 2025
Databricks Acquires BladeBridge Technology and Talent to Accelerate Data Warehouse Migrations

/PRNewswire/ -- Databricks, the Data and AI company, today announced that it has welcomed the team behind BladeBridge, a leading provider of AI-powered...

SiliconANGLE
Jan 24th, 2025
Databricks completes $10B funding round, raises $5.25B in debt

Databricks completes $10B funding round, raises $5.25B in debt - SiliconANGLE

Channel Life
Jan 23rd, 2025
Databricks secures USD $10bn funding, USD $5.25bn credit

Databricks has secured USD $10 billion in Series J funding and a USD $5.25 billion credit facility to enhance its AI capabilities and global reach.