Datarails Tech Stack

FP&A platform automating financial reporting while preserving Excel workflows

Software Development New York 201–500 employees Privately Held

Datarails builds a financial planning platform that bridges Excel-native finance workflows with automated reporting and analysis. The tech stack—Python, Airflow, Dagster, dbt, plus active adoption of Claude and GitHub Copilot—signals a shift toward AI-assisted development and orchestration-first data pipelines. Sales-led hiring (8 of 25 roles) paired with projects around renewal operationalization and partner playbooks indicates a focus on land-and-expand motion and reducing churn.

Tech Stack 40 technologies

Core StackSalesforce Python Apache Airflow Dagster Celery Temporal FastAPI Django Kubernetes Node.js TypeScript OpenAI Anthropic Angular Azure AD Okta Intune Confluence dbt Zendesk Jira SQL R Excel Google Gemini Mistral Groq Notion macOS Windows+5 more

AdoptingGitHub Copilot Cursor Temporal Claude CodeWhisperer

ReplacingExcel

What Datarails Is Building

◆Challenges

Manual data consolidation
Overflowing data managed by excel sheets
Reliance on excel spreadsheets
Improving net dollar retention
Protecting recurring revenue
Complex technical customer issues
Scattered excel-based processes
Migrating monolithic architecture
Expanding partnerships strategy
Operationalizing renewal motion

▲Active Projects

Renewal motion operationalization
Ai-based development tools adoption
Scalable partner playbook development
Expand and refine company knowledge base
Improving forecast accuracy
Renewal function build
Portfolio activation and adoption
Quarterly business reviews
Ai-driven practices workshops
Ai technology evaluation and experimentation

Hiring Activity

Accelerating25 roles · 10 in 30d

Department

Sales

Engineering

Data

Finance

Product

Support

Ops

Seniority

Mid

Senior

Lead

Manager

Principal

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About Datarails

Datarails provides FP&A automation for mid-market finance teams. The platform reduces manual data consolidation and spreadsheet sprawl by automating financial reporting and planning workflows while maintaining compatibility with Excel models—letting finance analysts spend less time gathering data and more time on strategic analysis. The product addresses the core pain of scattered, Excel-based processes across finance functions. The company operates in the United States and Israel, with a 201–500-person team skewed toward sales and engineering roles.

HeadquartersNew York

Company Size201–500 employees

Hiring MarketsUnited States, Israel

Frequently Asked Questions

What tech stack does Datarails use?

Python, Apache Airflow, Dagster, SQL, dbt, FastAPI, Django, Kubernetes, and TypeScript. They're actively adopting Claude, GitHub Copilot, and Temporal for AI-assisted development and workflow orchestration.

What is Datarails working on?

Renewal motion operationalization, AI-driven development tools adoption, partner playbook development, forecast accuracy improvements, and quarterly business reviews. These projects align with reducing churn and expanding through partnerships.