Full-Time
Senior Developer Advocate
Open Lakehouse
Posted on 12/19/2025
Databricks
10,001+ employees
Data lakehouse platform for analytics
Compensation Overview
$151.5k - $212.2k/yr
San Francisco, CA, USA + 1 more
More locations: Bellevue, WA, USA
In Person
 Developer Relations |
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- 5+ years of total technical experience, including professional experience as a software developer, data engineer, or solutions architect, with a proven history of building and operating data workloads
- Expert-level programming skills in Python, SQL, and Java
- Foundational understanding of the core Open Lakehouse technologies, including Apache Spark, Delta Lake, Apache Iceberg, Unity Catalog, and MLflow
- Demonstrated ability to build and operate data workloads using core Open Lakehouse technologies, with hands-on experience in the open source contribution workflow (filing issues, small pull requests)
- Exceptional communication skills with a proven talent for translating complex technical concepts into clear, concise educational material for a broad developer audience
- A public portfolio showing high-quality content creation (e.g., detailed tutorials, well-received conference talks, or active community contributions) is a significant advantage
- Define, develop, and maintain high-quality, actionable educational resources, including deep-dive tutorials, advanced technical blogs, and live-coding demonstrations that showcase core open source features and thought leadership (e.g., Delta Lake time travel, Spark performance tuning)
- Create and deploy practical code samples and compelling reference demos that showcase best practices for ETL, data governance, and analytics, effectively integrating the OSS ecosystem with cutting-edge AI tools (e.g., setting up training data on Delta Lake or connecting agents to Unity Catalog functions)
- Actively lead and grow technical communities and meetups. Connect with developers where they are at, and become their primary internal advocate to engineering and product teams, and align the product roadmap with developer needs
- Directly participate in open source communities by filing detailed bug reports, submitting small pull requests, and providing clear, actionable feedback on new features for projects like Delta Lake, MLflow, or Apache Iceberg
- Deliver engaging, high-value presentations at local user groups, regional, and industry events on complex topics like data format interoperability, ETL best practices, and the application of AI Agentic Systems across the data development workflow
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
Debt Financing
Total Funding
$27.1B
Headquarters
San Francisco, California
Founded
2013
Simplify's Take
What believers are saying
- Asia-Pacific revenue surges 85% YoY in Q4, expanding to 32,000 sq ft Singapore office in 2026.
- Acquires Antimatter and SiftD.ai to launch Lakewatch, adopted by Adobe and Dropbox.
- Partners with UiPath and DBOS to enhance AI agent reliability and workflow orchestration.
What critics are saying
- Snowflake Cortex AI erodes differentiation with cheaper serverless LLMs, churns customers in 6-12 months.
- Microsoft Fabric's 5x faster queries collapse Azure customers' SQL pricing in 3-9 months.
- Anthropic terminates Claude partnership in Q1 2026, obsoletes Lakewatch security in 12-24 months.
What makes Databricks unique
- Databricks unifies data engineering, science, and business on Apache Spark-powered lakehouse.
- Lakewatch delivers AI agentic SIEM using Anthropic's Claude for petabyte-scale threat detection.
- Unity Catalog enforces unified governance across data, models, and dashboards.
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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
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%RadixArk announces $100 million in Seed funding at a $400 million post-money valuation.
Persistent Systems has launched a Merchant Risk Management and Fraud Detection solution powered by Databricks' Data Intelligence platform. The solution uses Agentic AI to perform real-time merchant vetting during onboarding and continuous monitoring of transactions, chargebacks and third-party signals to detect fraud and compliance risks. Built on Databricks' platform, the solution triggers configurable actions when risk signals are detected, including enhanced monitoring or transaction restrictions. Persistent expects the solution to deliver a 20–40% reduction in fraud losses, 30–60% improvement in detection accuracy and 50–70% reduction in manual review effort. The solution is available now as a Databricks accelerator for banks, acquirers and payment service providers globally. Persistent is a Databricks Global Systems Integrator partner with over 900 certified professionals.
Databricks co-founder and CTO Matei Zaharia has been awarded the 2026 ACM Prize in Computing, recognising his contributions including Apache Spark, the open source big data project he created during his PhD at UC Berkeley in 2009. The award includes a $250,000 prize, which Zaharia is donating to charity. Under Zaharia's engineering leadership, Databricks has grown into a cloud storage and AI data foundation giant, raising over $20 billion at a $134 billion valuation and achieving $5.4 billion in revenue. Zaharia believes artificial general intelligence already exists but argues we should stop applying human standards to AI models. He advocates for AI agents that leverage their unique strengths in data processing rather than mimicking human assistants, citing security risks. His focus is on AI-powered research automation across fields like biology and engineering.
DBOS, Inc. has announced a technology partnership with Databricks to enhance the reliability and observability of agentic AI workflows. The collaboration integrates DBOS's open-source durable execution platform with Databricks and Lakebase, Databricks' serverless Postgres database designed for AI agents. The partnership addresses challenges in agentic AI, including long-running workflows and unpredictable model responses. DBOS stores workflow checkpoints in Lakebase in real time, enabling AI agent workflows to resume automatically after failures without data loss. Yutori, an AI company building autonomous web agents, is already using the combined platform to power its workflows. The integration is available immediately and requires no additional infrastructure or coding changes. DBOS is backed by joint MIT-Stanford research and serves AI startups and Fortune 100 companies.
Trent AI, a London-based AI security startup, has launched with $13 million in seed funding led by LocalGlobe and Cambridge Innovation Capital. Executives from Databricks and Stripe also participated. Founded by former Amazon Web Services engineers Eno Thereska, Neil Lawrence and Zhenwen Dai, Trent AI has developed a platform that uses AI agents to identify cybersecurity issues in AI agents and their generated code. The platform employs four groups of agents that find exploits, rank vulnerabilities by severity, generate remediation suggestions, and track security changes over time. The platform can simulate complex attack paths and provides tool-specific features for OpenClaw and Lovable. Trent AI claims its technology outperforms traditional cybersecurity products designed for conventional software. The company will use the funding to expand its customer base and engineering team.