Full-Time

Staff Backend Engineer

Catalog

Acryl Data

Acryl Data

51-200 employees

Provides metadata platform for data observability

Compensation Overview

$225k - $300k/yr

Palo Alto, CA, USA

Hybrid

Hybrid role; 3 days per week in Palo Alto, CA office.

Category
Software Engineering (1)
Required Skills
LLM
Kotlin
Kubernetes
Python
JavaScript
Node.js
Java
Docker
TypeScript
Microservices
C#
AWS
Go
Scala
DevOps
Data Analysis
Requirements
  • 8+ years 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
  • Proven track record solving complex technical challenges
  • Built and maintained online applications serving live traffic at scale (100+ QPS)
  • Set up monitoring and alerting for services
  • Designed indexing, storage, and data architectures to make large-scale data accessible to online services
  • Designed and scaled distributed systems
  • Hands-on experience developing in a tight loop with large language models and applying best practices for scalable large language model development
  • One of Java/Scala/Kotlin/C#/Go - very strong nice-to-have / borderline must-have
  • Python/TypeScript/Node.js - nice-to-have
  • AWS
  • Kubernetes/Docker
  • CI/CD deployment pipelines
  • Microservice Architecture
Responsibilities
  • Scalable, fault-tolerant ingestion systems for enterprise-scale metadata
  • Clean, intuitive APIs for our connector ecosystem
  • Event-driven architectures for real-time metadata processing
  • Schema mapping between diverse systems and DataHub's unified model
  • Versioning systems for AI assets (training data, model weights, embeddings)
Desired Qualifications
  • Experience with DataHub or similar metadata/ETL frameworks (Airflow, Airbyte, dbt)
  • Open-source contributions
  • Experience building and maintaining services that make calls to large language models in order 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

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $35M Series B from Bessemer to expand AI data management.
  • Launched Acryl Observe for automated anomaly detection yesterday.
  • 50+ integrations reduce switching costs in modern data stacks.

What critics are saying

  • Collibra captures Fortune 500 share with AI governance in 12-24 months.
  • OpenMetadata free tier slashes Acryl ARR by 30% in 3-9 months.
  • EU AI Act v2 mandates immutable lineage, causing churn in 18-24 months.

What makes Acryl Data unique

  • Acryl Cloud combines metadata cataloging with real-time data observability.
  • Built on LinkedIn's battle-tested DataHub and Apache Gobblin.
  • Streaming-first architecture enables real-time metadata updates.

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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

TSecurity.de
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
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.

PT. Cahaya Naga Mediatama
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...