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Anomalo

Data Solutions Architect

Reposted 2 Days Ago
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Remote
Hiring Remotely in Greece
Senior level
Remote
Hiring Remotely in Greece
Senior level
Serve as the technical lead for enterprise customers in EMEA, advising on data quality monitoring across cloud data warehouses, triaging alerts, recommending dataset design and configuration changes, supporting sales and CS, and feeding product and engineering with customer-driven improvements.
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Our Mission: Make Data Trustworthy at Scale

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:
  • 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

What you’ll bring to the team:
  • 8+ years of data analytics experience

  • Very proficient in SQL and data analysis

  • 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 and/or R

  • Experience working with time series and unsupervised machine learning algorithms

  • Experience with data transformation (DBT) and orchestration (Airflow) platforms

Location, Travel, and Work Authorization:
  • 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

  • Please note that we are unable to offer visa sponsorship for this position. Applicants must have the legal right to work in the United Kingdom or Ireland, as applicable, without the need for current or future employer-sponsored visa sponsorship

Perks of Working at Anomalo
  • 🎯 Make an Impact: Join a growing company that delights our customers. Our modern UI and rich visualizations help our customers solve unknowns and anticipate data issues before they happen.

  • 🔍 A values-driven, open and transparent culture that supports autonomy and growth.

  • 🏡 Fully Remote: We were fully remote before it was a thing, and we believe your best work happens on your schedule. We offer a generous $1,000 stipend to ensure your remote office is comfortable.

  • 🌴 Generous Time Off: Enjoy 17 company holidays and unlimited vacation time that we encourage you to take. We also have a company-wide winter break the last week of the year.

  • 🩹 Health Benefits: Comprehensive family-friendly medical, dental, and vision insurance plans. Anomalo covers 90% of your premiums. We provide access to family planning and reproductive care for our employees and their families by partnering with Carrot Fertility. We provide mental health and wellness benefits for all employees, covered at 100%.

  • 🍼 Family Comes First: We offer 16 weeks of parental leave, during which you will receive your full pay.

  • 💸 Investment in the company & your future: Every employee is granted a meaningful equity package. We also offer life insurance and a 401(k) plan.

Many of our benefits and perks are designed for full-time employees, with some available only to team members based in the United States.

Accommodations and Privacy:

We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be shared.

Anomalo Applicant Privacy Policy

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