Full-Time

Backend Engineer Staff

Catalog

Updated on 9/4/2026

Acryl Data

Acryl Data

51-200 employees

Provides metadata platform for data observability

Compensation Overview

$225k - $300k/yr

+ Equity + Monthly coworking stipend

Palo Alto, CA, USA

Hybrid

Three days on-site per week required in Palo Alto.

Category
Software Engineering (1)
Required Skills
Kotlin
Kubernetes
Python
Airflow
Distributed Systems
Node.js
Java
Docker
TypeScript
C#
AWS
Go
Scala
REST APIs
DevOps
Data Analysis

Get referred to Acryl Data

See people who can refer or advise you

Requirements
  • At least 8 years of experience building production-grade distributed systems.
  • Advanced Python and API design expertise.
  • Experience with high-scale data processing or integration frameworks.
  • Strong systems knowledge and distributed architecture experience.
  • A proven track record solving complex technical challenges.
  • Experience building and maintaining online applications serving live traffic at scale, including 100+ queries per second.
  • Experience setting up monitoring and alerting for services.
  • Experience designing indexing, storage, and data architectures that make large-scale data accessible to online services.
  • Experience designing and scaling distributed systems.
  • Hands-on experience developing in a tight loop with large language models and applying best practices for scalable large language model development.
  • Strong proficiency in one of Java, Scala, Kotlin, C#, or Go is a nice-to-have or borderline must-have qualification.
  • Knowledge of AWS, Kubernetes, Docker, continuous integration and continuous delivery deployment pipelines, and microservice architecture.
Responsibilities
  • Lead development of DataHub's Platform framework, the core that connects diverse data systems and powers metadata collection capabilities.
  • Build scalable, fault-tolerant ingestion systems for enterprise-scale metadata.
  • Build clean, intuitive application programming interfaces for the connector ecosystem.
  • Build event-driven architectures for real-time metadata processing.
  • Build schema mappings between diverse systems and DataHub's unified model.
  • Build versioning systems for AI assets, including training data, model weights, and embeddings.
Desired Qualifications
  • Python, TypeScript, or Node.js experience.
  • Experience with DataHub or similar metadata or extract, transform, and load frameworks, including Airflow, Airbyte, or dbt.
  • Open-source contributions.
  • Experience building and maintaining services that make calls to large language models to serve live traffic.
  • Experience fine-tuning large-language-model-powered applications exposed to end users.
  • Early-stage startup experience.

Acryl Data offers Acryl Cloud, a metadata platform for data management that combines a data catalog with data observability. It helps data producers and consumers organize, understand, and derive fast value from data using Shift Left practices that embed testing early in development. The platform continuously detects data quality incidents in real time, automates anomaly detection, and provides time-based data lineage to trace root causes, with both push and pull metadata ingestion. Pricing is subscription or usage-based, serving teams from technical to non-technical to monitor the health of datasets and pipelines and accelerate issue resolution.

Company Size

51-200

Company Stage

Series A

Total Funding

$21M

Headquarters

Santa Clara, California

Founded

2021

Get referred to Acryl Data

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • May 2025 Series B brought total funding to $65 million, extending runway.
  • 2026 releases added analytics-agent context and expanded DataHub Cloud capabilities for enterprise buyers.
  • Open source DataHub remains a distribution engine, funneling developers into paid cloud upgrades.

What critics are saying

  • DataHub Cloud rebrand signals Acryl’s identity depends on a community project, not proprietary moats.
  • Bessemer’s May 2025 Series B came after earlier 2023 dilution, pressuring growth expectations.
  • Atlassian, Collibra, and BigID attack the same metadata budget; slower sales kills momentum.

What makes Acryl Data unique

  • DataHub’s open-source footprint and LinkedIn origins anchor enterprise trust and adoption.
  • The platform spans catalog, lineage, observability, and AI context in one control plane.
  • May 2026 launch pushed trusted context for analytics agents beyond 90% accuracy.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Company Equity

Family Planning Benefits

Fertility Treatment Support

Remote Work Options

Home Office Stipend

Phone/Internet Stipend

Company News

Team IT Security
May 21st, 2025
Acryl Data raises $35M Series B

DataHub, by Acryl Data, has secured $35 million in Series B funding led by Bessemer Venture Partners. This funding aims to enhance their open source metadata platform, enabling AI to safely manage and utilize data.

i-programmer.info
Jun 26th, 2023
Acryl Adds Advanced Data Observability

Vercel has announced AI Accelerator, a program for AI builders and early stage startups, along with AI Playground, an environment in which developers can experiment with AI technologies.

The New Stack
Jun 23rd, 2023
Acryl Data Unveils Data Observability Capabilities, Adds Funding

Yesterday, Acryl Data announced the launch of Acryl Observe, a data observability module for its flagship Acryl Cloud offering.

Google
Jun 23rd, 2023
Acryl Data unveils Data Observability capabilities, adds funding

Acryl Data unveils Data Observability capabilities, adds funding.

Beritaja
Jun 22nd, 2023
Acryl Data raises $21M to grow its enterprise data catalog platform

With the explosion of different kinds of data, companies are struggling to realize meaningful value from their stored data. Data teams are overworked, meanwhile — forced to cater to the needs of disparate departments within an organization while trying...