Full-Time

Senior Software Engineer

Enterprise Platform, Customerlake

Posted on 8/20/2026

Databricks

Databricks

10,001+ employees

Data lakehouse platform for analytics

Compensation Overview

$164.2k - $225.7k/yr

+ Annual performance bonus + Equity

New York, NY, USA

In Person

Category
Software Engineering (1)
Required Skills
Python
Distributed Systems
React.js
Node.js
Java
Go
Scala
Vue.js
REST APIs
C/C++
Angular

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Requirements
  • At least 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 software-as-a-service products or working on enterprise-focused engineering teams.
  • Experience building permissions and access controls, authorization systems, audit logs, entitlements, pricing or usage controls, governance, security, or administrative tooling.
  • Experience designing scalable backend services, application programming interfaces, data models, and distributed systems that support complex product experiences.
  • Strong understanding of the needs of Data, Information Technology, Security, or Platform administrators operating software across large organizations.
  • Experience with server-side technologies such as Java, Python, Scala, Go, Node.js, C++, or similar.
  • Experience with modern frontend technologies such as React, Angular, Vue.js, or similar frameworks.
Responsibilities
  • Build enterprise capabilities that enable large organizations to securely adopt, administer, and scale CustomerLake products.
  • Design and develop permissions, roles, and access-control systems for complex enterprise environments.
  • Build auditability and governance capabilities that provide administrators visibility into user activity, configuration changes, and sensitive operations.
  • Develop pricing, entitlement, usage, and product controls that enable organizations to configure and manage product consumption across teams and users.
  • Design scalable backend services, application programming interfaces, and data models that power administrative and management experiences.
  • Translate Data, Information Technology, Security, and Platform administrator requirements into simple, reliable product experiences.
  • Build systems that balance flexibility and ease of use with enterprise expectations for security, compliance, control, and reliability.
  • Own projects end to end, from architecture and technical design through implementation, launch, and iteration.
  • Partner with product management, design, security, infrastructure, and other engineering teams to shape CustomerLake's enterprise product strategy.
Desired Qualifications
  • Demonstrated product mindset, with the ability to turn complex enterprise requirements into intuitive and pragmatic solutions.
  • High ownership and bias for action in 0-to-1 environments, with comfort navigating ambiguity, making technical trade-offs, and driving projects from idea through production.
  • Strong cross-functional collaboration skills and the ability to partner effectively with product, design, security, infrastructure, and engineering teams.

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 Jobs

Simplify's Take

What believers are saying

  • Databricks announced $5 billion funding on August 13, 2026, at a $190 billion valuation.
  • February 9, 2026 revenue run-rate hit $5.4 billion, growing over 65% year-over-year.
  • Electric joined Databricks on August 11, 2026, strengthening Lakebase for AI agents.

What critics are saying

  • Judge Breyer let authors' copyright class action proceed on April 29, 2026.
  • Poulin Holdings sued Databricks in Texas on March 11, 2026, over patents.
  • Snowflake and Alphabet compete directly; Databricks' $190 billion valuation demands flawless IPO execution.

What makes Databricks unique

  • Databricks owns the lakehouse stack, from Spark analytics to Lakebase PostgreSQL.
  • Unity Catalog and open formats anchor governance across clouds, data, and AI workloads.
  • Electric and Neon deepen agentic database capabilities beyond Snowflake's core warehouse focus.

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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

1%

2 year growth

0%
Databricks
Aug 13th, 2026
Databricks Grows >80% YoY, Surpasses $7B Revenue Run-Rate, Scales Lakebase, Genie, and Unity AI Gateway - Databricks

Closes $5 billion strategic funding at a $190 billion valuation, led by Coatue, along with Blackstone, MGX, T.

TechDay
Aug 12th, 2026
Databricks buys Electric to power AI agent sandboxes

The deal gives developers a way to keep AI agents working locally in sync with central data, cutting latency in sandboxed apps.

Electric
Aug 11th, 2026
Electric is joining Databricks | Electric

Electric is now part of Databricks. We're joining Neon to make Lakebase the best platform for building apps and agents. Everything we've open sourced stays open source.

Tech in Asia
Jul 28th, 2026
Databricks hires ex-AWS executive to lead Asia partners amid 85% growth

Databricks has appointed former Amazon Web Services executive Briscoe to lead its Asia Pacific & Japan partner organisation. She previously headed AWS's partner operations in the region and held similar roles at Microsoft and Cisco. The move supports Databricks' regional expansion. In April, the company named Simon Davies as regional leader and reported over 85% year-on-year growth in its fourth quarter. It now has more than 1,500 employees across Asia Pacific & Japan and plans to establish headquarters in Singapore. Databricks works with over 1,000 partners regionally and 8,000 globally through its Brickbuilder Partner Network. The company's AWS business has surpassed a $1 billion run rate. International Data Corporation forecasts Asia/Pacific AI spending will reach $175 billion by 2028.

Tech in Asia
Jul 17th, 2026
Coatue leads $3B Databricks investment at $134B valuation

Coatue Management is reportedly leading a $3 billion investment in Databricks, according to recent reports. The data analytics company previously raised roughly $5 billion earlier in 2026 at a $134 billion valuation. Databricks sells a lakehouse platform combining data lake and data warehouse capabilities and has expanded into AI software for enterprise applications. The company reported $5.4 billion in revenue run rate in February, up over 65% year on year, which grew to $6.9 billion by June. The earlier financing round included $2 billion in debt capacity intended to fund AI products, acquisitions and employee liquidity. At its current valuation, Databricks exceeds Snowflake's market capitalisation of approximately $83 billion. Management has indicated the company may remain private until market conditions improve.