Databricks
Data lakehouse platform for analytics
AI Engineer - Fde, Forward Deployed Engineer
+ Annual performance bonus + Equity
Remote role with customer travel approximately once every 4–8 weeks as needed.
About the job
- Experience building GenAI applications, including retrieval-augmented generation, multi-agent systems, Text2SQL, and fine-tuning, using tools such as HuggingFace, LangChain, and DSPy.
- Expertise deploying production-grade GenAI applications, including evaluation and optimization.
- Extensive hands-on industry data science experience using common machine learning and data science tools such as pandas, scikit-learn, and PyTorch.
- Experience building production-grade machine learning deployments on AWS, Azure, or Google Cloud Platform.
- A graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience.
- Experience communicating or teaching technical concepts to both non-technical and technical audiences.
- Develop GenAI solutions using current AI research techniques to solve customer problems.
- Own production rollouts of consumer-facing and internally facing GenAI applications.
- Serve as a trusted technical advisor to customers across a variety of domains.
- Present at conferences such as Data + AI Summit and act as a thought leader internally and externally.
- Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap.
- Travel approximately once every 4–8 weeks to see customers as needed.
- Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.
About the company
Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$32.1B
Headquarters
San Francisco, California
Founded
2013
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Simplify's Take
What believers are saying
- Databricks said August 2026 run-rate exceeded $7 billion, growing over 80%.
- Databricks will invest $350 million in Singapore, doubling headcount above 500.
- Unity Gateway went GA September 16, 2026, expanding enterprise AI governance.
What critics are saying
- Authors' DBRX copyright suit survived dismissal in April 2026; discovery continues.
- Poulin Holdings sued Databricks on March 11, 2026 over Feature Store and Unity Catalog.
- Copyright damages reach $150,000 per work if DBRX training claims succeed.
What makes Databricks unique
- Lakehouse unifies analytics, AI, and Lakebase Postgres under one governed platform.
- Unity Gateway centralizes model routing, policy enforcement, and MCP tool access.
- Electric and Neon deepen Databricks' agentic database stack for low-latency apps.
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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
6 month growth
↓ -1%1 year growth
↑ 0%2 year growth
↓ -2%Databricks is ramping up investment in Asia as the region becomes its fastest-growing market, with business more than doubling in the second quarter. The San Francisco-based analytics and AI software company, valued at $190 billion after an August funding round, plans to invest over $350 million in Singapore over three years and double its headcount there to more than 500 employees. The firm is investing over $1 billion across Asia-Pacific over the next three years, expanding from its current 1,500 regional employees. Databricks generated a $7 billion revenue run rate in August, up from $5.4 billion in February. The company recently launched Unity Gateway and Genie One, tools helping customers manage AI costs and automate tasks.
A new PitchBook report argues that Databricks' $190 billion valuation is too steep, estimating the company's actual operating value at around $68.7 billion — a 64% discount. Senior analyst Harrison Rolfes projected Databricks' revenue and cash flow over 10 years, forecasting the company will generate $9.3 billion annually by 2035. Even under the most optimistic scenario, assuming 80% gross margins and continued growth, the analysis values Databricks at only $182.1 billion. In August, Databricks raised $5 billion at the $190 billion valuation, led by Coatue. The company's annualised run rate increased 29.6% to $7 billion over six months. Databricks trades at 27 times its run rate, compared to competitor Snowflake's 20 times multiple. Whilst Databricks grows faster, Snowflake's audited figures provide more transparency than Databricks' self-reported numbers.
ASX-listed AI Private Opportunities Trust has acquired a position in Databricks, allocating approximately 8% of its portfolio to the US data and AI company. San Francisco-based Databricks raised $5 billion in August 2024 at a $190 billion valuation. The platform serves over 70% of Fortune 500 companies and more than 20,000 organisations worldwide. Databricks crossed a $7 billion revenue run rate in its most recent quarter, growing over 80% year-on-year whilst maintaining positive free cash flow. This investment follows AIX's deployment of over one-third of its portfolio across positions including ByteDance, Helsing, and Handshake. The trust aims to provide Australian investors access to private AI market leaders typically limited to institutional investors. GCM Grosvenor manages the trust's investments and is in advanced discussions to close several additional positions.
Closes $5 billion strategic funding at a $190 billion valuation, led by Coatue, along with Blackstone, MGX, T.
The deal gives developers a way to keep AI agents working locally in sync with central data, cutting latency in sandboxed apps.