Overview
News
Technologies
Salaries
Products
People
Growth
Jobs
Financials

Overview

Anomalo is a San Francisco company founded in 2018 that monitors enterprise data quality with unsupervised machine learning. It connects to warehouses such as Snowflake, BigQuery and Databricks, learns the normal shape of each table and alerts teams to unexpected changes before they reach dashboards or models. The company has extended the product to validating unstructured text used in generative AI pipelines.

News

Blog 1 month ago
2026 Is the Year of the Customer
The post 2026 Is the Year of the Customer appeared first on Anomalo.
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Report
Blog 1 month ago
Federated data governance turns data sharing into a win-win
The post Federated data governance turns data sharing into a win-win appeared first on Anomalo.
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Report
Blog 2 months ago
Autonomous AI data monitoring for a new era of AML strategy
The post Autonomous AI data monitoring for a new era of AML strategy appeared first on Anomalo.
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Report
Blog 2 months ago
AI Data Monitoring for Underwriters: From Manual Rules to Autonomous Agents
The post AI Data Monitoring for Underwriters: From Manual Rules to Autonomous Agents appeared first on Anomalo.
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Report
Blog 2 months ago
Manual to Autonomous: How Agentic Data Monitoring Helps Avoid Costly Reporting Errors
The post Manual to Autonomous: How Agentic Data Monitoring Helps Avoid Costly Reporting Errors appeared first on Anomalo.
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Report
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Technologies

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Tech DNA
Python
SQL
Amazon Redshift
Google BigQuery
Snowflake
AI/ML
Python
SQL
Amazon Redshift
Databricks
Google BigQuery
Snowflake
Time Series Forecasting
Stack modernity Modern
73/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python 1 job Required
SQL 1 job Required
Snowflake 1 job Required
Databricks 1 job Required
Google BigQuery 1 job Required
Amazon Redshift 1 job Required
Time Series Forecasting 1 job Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
29%
SQL
24%
Snowflake
12%
Databricks
11%
Google BigQuery
8%
Amazon Redshift
5%
Share of companies in the same industry that use each technology.
Stack changes
Time Series Forecasting Aug 2026
SQL Aug 2026
Snowflake Aug 2026
Python Aug 2026
Google BigQuery Aug 2026
Databricks Aug 2026
Amazon Redshift Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.

Growth

Hiring Momentum
38/100
Slowing
Open positions
1
0 opened / 0 closed in 30 days
ATS activity
Every ~3 days
08/30/2026
Hiring Dynamics 0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Product
100%
Activity Timeline
Added Time Series Forecasting to stack Aug 2026
Added SQL to stack Aug 2026
Added Snowflake to stack Aug 2026
Added Python to stack Aug 2026
Added Google BigQuery to stack Aug 2026
Added Databricks to stack Aug 2026
Added Amazon Redshift to stack Aug 2026

Jobs

Data Solutions Architect

Verified live · 2 days ago 1 month ago
Equity • Remote • Full-Time • 8+ years exp • Bachelor's Degree
Python
SQL
Amazon Redshift
Databricks
Google BigQuery
Snowflake
AI/ML
Time Series Forecasting
Apply