Data Solutions Architect (Remote - Americas)

San Francisco Bay Area /
Engineering – Machine Learning /
About Anomalo

Much like software before it, data is the next competitive battleground for modern enterprises. As a result, more and more companies are rushing to stand up their data stack and become data-powered organizations.

But every data-powered company quickly encounters one unfortunate fact: much of their data is missing, stale, corrupt, or prone to unexpected and unwelcome changes. As a result, companies spend more time dealing with issues in their data rather than unlocking that data's value. 

Anomalo addresses this problem by adding a new layer to the Modern Data Stack: a Data Quality Platform that monitors enterprise data to automatically detect and root-cause any data issues, thus allowing teams to resolve any hiccups with their data before making decisions, running operations, or powering models.

We help companies trust the data they use to make decisions and build products.

We work with some of the biggest brands like BuzzFeed, Discover Financial Services, and Substack. We're raised over $39m in seed and Series A funding backed by top-tier venture firms like Norwest Venture Partners, Foundation Capital, Two Sigma Ventures, and First Round Capital. We are building the platform that data-driven companies need to stay data-driven, and would love to have you join us for the ride!

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, and Redshift via Anomalo
    • Work closely with enterprise customers in Financial Services, e-Commerce, and Media 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

Qualifications you'll ideally have

    • 5+ 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
Perks of working with us

👩‍💻 We were fully remote before it was a thing, your best work happens on your schedule
✈️ Unlimited vacation that we encourage you to take
🩹 Top of the line family-friendly medical, dental, and vision insurance plans
🍼 16 weeks paid maternity/paternity leave because family comes first
🔍 A radically open and transparent culture that supports autonomy and growth
💸 Meaningful employee equity packages plus life insurance and a 401k plan
🖥️ All new top-of-the-line laptops, monitors, and peripherals for doing your best work

What we value

Rational Optimism - We rely on each other to make principled decisions backed by data and logic
For & By All - Diverse, inclusive teams build better products that represent the needs of our customers
Own It - We champion ownership, and we take accountability for our work
Opacity Zero - Transparency enables our autonomous and fact-driven culture
Outcomes > Hours - People should work when and where they will be most productive
YOLO - Life's too short not to have fun at work