Data management solutions accounted for more than one-fifth of all enterprise infrastructure spend in 2021. The “modern data stack” promises a centralized data platform for powering valuable new applications, from AI-powered products to real-time analytics.
Unfortunately, a big problem stands in the way of most data projects and products – the issue of data quality. Rules-based data quality approaches that worked when data was small and tightly controlled don’t scale. And with more data sources, transformations, and users, quality issues are multiplying fast. The vast majority of issues go uncaught—until they lead to an expensive fire drill.
Anomalo is the automated AI solution that plugs directly into the modern data stack and automatically monitors tables for a wide range of data quality issues. Our software uses unsupervised learning to catch deep problems in the data, like sudden changes in the distribution, that aren’t covered by static rules or basic observability. With built-in root cause analysis, Anomalo shows not only whether data is anomalous but also why and what the impact is. This prevents data issues from reaching dashboards, reports, and products, while data teams spend less time debugging and more time building.
We’re rapidly growing and work with some of the biggest brands leveraging data today, like Block, Discover Financial Services, Buzzfeed, and Notion. The company has raised a total of $72M seed through Series B funding and is backed by top-tier venture firms like SignalFire, Norwest Venture Partners, Databricks Ventures, Foundation Capital, Two Sigma Ventures, and First Round Capital.
Anomalo is building the platform that data-driven companies need to be able to make good data-driven decisions, and would love to have you join for the ride.
As a Data Solutions Architect at Anomalo, you will play a crucial role in helping our enterprise customers ensure the quality and integrity of their data. You’ll leverage your expertise in data analytics and cloud data warehousing to provide tailored solutions for monitoring complex datasets. By working closely with customers and internal teams, you will drive the evolution of our data quality platform and contribute to the success of our customers across various industries.
What you’ll do as a Data Solutions Architect at Anomalo: 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 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 Nice to 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 & Travel: Planned travel once per quarter to our company on-sites to spend time with the team (required). Remote - North America - Pacific Time zone ideal - Ability to support global customers Salary Range: The estimated annual salary range for this role is $180,000 - $215,000 plus meaningful equity Benefits: A best in class benefits package including: unlimited time off, comprehensive medical, dental, and vision, fertility and family planning coverage, mental health and wellness coverage, quarterly offsites in exciting destinations to spend time with your colleagues. Perks of working with us: