AI Hiring Index

Databricks · Engineering · Senior · Posted 2026-08-14

Senior Fullstack Software Engineer - Enterprise Configuration & Administration, CustomerLake

Databricks · New York City, New York · $164k–226k base

This range's midpoint is above 27% of posted engineering ranges at AI companies right now. See the salary index.

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P-1473

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-generation product experiences to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

You’ll join CustomerLake, an NYC-based engineering organization building a new generation of agentic customer-data applications on Databricks. The team is developing Customer Data Platform capabilities across Customer 360, Reverse ETL, Customer Intelligence, and Profile Agents, helping customers unify and activate customer data, understand their customers, and automate complex workflows. CustomerLake is a high-priority 0-to-1 initiative focused on moving Databricks further up the stack toward end-to-end products for technical and business users.

Within CustomerLake, you’ll focus on the enterprise capabilities that make these products secure, controllable, and scalable for the world’s most sophisticated organizations. You’ll build across permissions and access controls, audit logs, pricing and entitlement controls, governance, and administrative experiences. This is a specialized, backend-leaning full-stack role for an engineer who understands what enterprise customers need to confidently adopt and manage mission-critical SaaS products at scale.

The impact you'll have:

Build the enterprise capabilities that enable large organizations to securely adopt, administer, and scale CustomerLake products

Design and develop robust permissions, roles, and access-control systems for complex enterprise environments

Build auditability and governance capabilities that give administrators visibility into user activity, configuration changes, and sensitive operations

Develop pricing, entitlement, usage, and product controls that enable organizations to configure and manage how products are consumed across teams and users

Design scalable backend services, APIs, and data models that power intuitive administrative and management experiences

Translate sophisticated Data, IT, Security, and Platform administrator requirements into simple, reliable product experiences

Build systems that balance flexibility and ease of use with enterprise expectations around security, compliance, control, and reliability

Own projects end to end, from architecture and technical design through implementation, launch, and iteration

Partner closely with product management, design, security, infrastructure, and other engineering teams to shape CustomerLake's enterprise product strategy

What we look for:

8+ years of software engineering experience building and shipping production systems

Deep backend engineering experience with the ability to work across the full stack and own features end to end

Experience building enterprise SaaS products or working on enterprise-focused engineering teams

Experience building one or more of the following: permissions and access controls, authorization systems, audit logs, entitlements, pricing or usage controls, governance, security, or administrative tooling

Experience building the administrative controls—integrating Databricks-wide permissions postures, audit logging frameworks, and entitlement systems that enterprise IT and Security admins use to control access and entitlements.

Experience designing scalable backend services, APIs, data models, and distributed systems that support complex product experiences

Strong understanding of the needs of Data, IT, Security, or Platform administrators operating software across large organizations

Demonstrated product …

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