SLSQ327R637
At Databricks, we are passionate about enabling GTM Analytics Engineering builds the internal
data and AI platform that Databricks' own go-to-market organization runs on — used by
6,000+ field users across sales, strategy, and operations. We own the number one Databricks
App, the Genie agents, which are powered through the lakehouse (Unity Catalog
bronze/silver/gold) beneath them. We are "Customer Zero" for Databricks: we adopt the newest
Databricks and AI tooling first, in production, and pave the path for the rest of the company.
We're in the middle of a step-change — moving the app from AI/BI and Genie experience to
an AI-native, genie-centric platform that delivers prescriptive recommendations (not just
descriptive reports), built to scale for the next 3–5 years. We build with AI in the loop end
to end, and a large and growing share of our code is AI-generated and human-reviewed.
The role
As an AI Engineer you'll help build the intelligence and application layers of that
platform: Genie-powered analytics agents, LLM-driven workflows (feedback analysis, "what's
new" enablement, BRD-to-plan automation), and the Databricks Apps and Lakebase services that
serve them. You'll work alongside senior engineers, and you'll be expected to lean on
AI coding tools heavily and thoughtfully from day one. This is a high-ownership, fast-shipping
team where early-career engineers get real surface area.
What you'll do
Build and ship features for AI-powered surfaces: Genie analytics agents, LLM-assisted feedback
and enablement workflows, and in-app intelligence inside the GTM Hub.
Develop and integrate agentic workflows — prompts, tools/MCP integrations, retrieval, and
evaluation — that turn business questions into reliable, grounded answers.
Write Python and SQL against our Databricks lakehouse (Unity Catalog, Delta) and Lakebase
(Postgres) services that back the apps.
Use AI coding tools (Claude Code, agentic skills) as a core part of your workflow, and help
build the reusable skills and harnesses that make the whole team faster.
Contribute to evaluation and quality: help measure and improve the accuracy of our AI outputs
(eval sets, scorecards, regression checks).
Partner with data engineers, app engineers, and strategy/ops stakeholders to take work from
idea → ticket → PR → production.
Write clean, well-documented, tested code and participate in code review (human and
AI-assisted).
What we look for
Bachelor's degree in Computer Science, Data Science, or a related field — or equivalent
practical experience.
7+ years of software and AI engineering related experience.
Solid fundamentals in Python and SQL.
Hands-on exposure to LLMs / generative AI — prior work building with APIs, prompts, RAG,
Knowledge graphs & agents.
Genuine fluency with AI developer tools (e.g., Claude, Cursor) and a desire to push how far
AI-assisted engineering can go.
Strong problem-solving, curiosity, and a bias to ship and iterate; comfortable with ambiguity
in a fast-moving team.
Clear written and verbal communication; works well with both engineers and non-technical
stakeholders.
Nice to have
Experience with the Databricks platform (AI Gateways, notebooks, jobs, Unity Catalog,
Databricks Apps, Genie) or another cloud data platform.
Building or evaluating agentic, RAG systems; familiarity with MCP, tool-calling, or eval
frameworks.
Full-stack exposure (React/TypeScript front end, FastAPI/Python back end) or data engineering
(dbt, Spark, medallion architectures).
Experience with Postgres/OLTP, CI/CD (Databricks Asset Bundles, GitHub Actions), or
analytics/BI.
Our environment
Databricks (AI Gateway, Unity Catalog, Delta, Jobs, Databricks Apps, Lakebase, Genie) · Python
· SQL · React/TypeScript · FastAPI · Claude Code & agentic skills · GitHub + DABs
CI/CD. We work in sprints, review each other's PRs, and treat AI as a first-class teammate
— with the human judgment to know when it's wrong.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this
role is listed below and represents the expected base 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 anticipated utilizing the full width of the range. The
total compensation package for this position may also include eligibility for annual
performance bonus, equity, and the benefits listed above. For more information regarding which
range your location is in visit our page here.
Zone 1 Pay Range$146,600—$201,650 USDZone 2 Pay Range$132,000—$181,500
USDZone 3 Pay Range$124,600—$171,400 USDZone 4 Pay Range$117,300—$161,250 USDAbout
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including
adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 —
rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and
agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a
unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity
Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt
Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of
our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can
excel. We take great care to ensure that our hiring practices are inclusive and meet equal
employment opportunity standards. Individuals looking for employment at Databricks are
considered without regard to age, color, disability, ethnicity, family or marital status,
gender identity or expression, language, national origin, physical and mental ability,
political affiliation, race, religion, sexual orientation, socio-economic status, veteran
status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job
duties, it is within Employer's discretion whether to apply for a U.S. government license
for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Applicant Privacy Notice |
