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Anomalo
Anomalo is the AI-powered data quality platform trusted by Fortune 500 companies. Our platform combines unsupervised machine learning with automated root-cause analysis to detect anomalies without manual rule maintenance. While legacy tools force teams to anticipate every failure and maintain brittle threshold libraries, Anomalo learns what "normal" looks like and automatically flags deviations. When issues surface, our RCA pinpoints the cause in minutes, not days.
We work with Block, Discover, Atlassian, and Notion. We're backed by $82M from SignalFire, Norwest, Databricks Ventures, Snowflake Ventures, Foundation Capital, Two Sigma Ventures, and First Round Capital.
As a Data Solutions Architect in the EMEA region at Anomalo
You'll be instrumental in expanding our global customer solutions presence. You'll engage directly with enterprise customers across diverse industries, providing expert guidance on data quality monitoring and helping shape our offerings to meet regional needs. You'll also serve as a key point of contact for customer calls, ensuring their success while working closely with our global teams to drive innovation and excellence.
What you’ll do as a Data Solutions Architect at Anomalo
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- Become an expert in data quality monitoring, and advise our industry-leading customers on the best way to monitor their complex datasets in cloud data warehouses like BigQuery, Snowflake, Databricks and Redshift via Anomalo
- Work closely with enterprise customers across multiple verticals to help solve their most complex data monitoring challenges
- Advise customers on how best to evolve the structure of their datasets to ensure they can effectively monitor their data for changes they care about
- Help customers understand and triage alerts that they are not familiar with, and advise configuration changes when necessary
- Develop working relationships with technical peers in data engineering, data science, and analytics at our customers
- Be a resource for our sales and customer success teams when they need technical questions answered about how best to apply Anomalo to a customer need
- Identify areas of opportunity for improving our product, algorithms, and processes and convey those to partners in product, engineering, and support
This role requires regular overlap with our U.S.-based team. As a result, your typical working hours will include later afternoons and evenings (local time) to support cross-functional collaboration
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What you’ll bring to the team
- 8+ years of data analytics experience
- Very proficient in SQL and data analysis in R or Python
- Experience working with one or more cloud data warehouse platforms (Snowflake, Bigquery, Redshift, etc.) or an equivalent MPP data warehouse
- Able to understand and advise on data quality problems across a variety of industries and use cases
- Track record of communicating complex analytical insights or findings to internal or external customers
- Bachelor’s degree or higher in Mathematics, Statistics, Computer Science or a related discipline, or equivalent practical experience
Ideal candidates will also have
- Experience with Python
- Experience working with time series and unsupervised machine learning algorithms
- Experience with data transformation (DBT) and orchestration (Airflow) platforms
- Experience in financial services and health services verticals
Location and Travel
- Remote - Based in the United Kingdom or Ireland
- Quarterly travel to company offsites to spend time with the team, and occasional travel to visit customers is required
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