Data Solutions Architect, Anomalo
Pacific Time Zone
$180-215k
+ Equity
More information about location
Automated data quality issue detection software
Job no longer available
Automated data quality issue detection software
21-100 employees
Job no longer available
$180-215k
+ Equity
More information about location
21-100 employees
Company mission
To help users automatically detect data issues and understand their root causes, before anyone else.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
In the realm of expanding data repositories, the detection of potentially detrimental data anomalies takes on heightened significance, especially in the context of machine learning models. Anomalo steps in with an automated solution, leveraging machine learning to tackle the critical issue of data viability.
Anomalo integrates with enterprise data warehouses, like Snowflake, where extensive corporate data is stored. Its role involves vigilant monitoring and identification of unusual discrepancies and undesirable alterations across these datasets. Given the pivotal role data plays in business operations, such early detection of issues becomes imperative.
Despite its recent inception, Anomalo has already gained recognition with notable clients, including BuzzFeed, Discover, and Substack. Employeing a unieuq revenue model, the company charges based on the monitored dataset, as opposed t the conventional user or data flow approach. Furthermore, Anomalo is in an active phase of product expansion, recently forging strategic alliances and actively seeking new talent across various domains to further proel its growth trajectory.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Nov 2024
$10m
SERIES B
Jan 2024
$33m
SERIES B
Total funding: $82m
Company benefits
- 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 $2,000 stipend to ensure your remote office is comfortable
- Quarterly Offices: While we love the flexibility of being remote-first, we also recognize the value of spending time together in person, We make time to get together (in a new destination!) for a company-wide offsite each quarter
- Generous Time Off: Enjoy 17 company holidays and unlimited vacations 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
Company values
- 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 wok
- 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 o have fun at work
Company HQ
Chinatown, San Francisco, CA
Articles
Leadership
Elliot Shmukler
(CEO)A Product and Growth leader with more than 20 years of experience with Internet Consumer Software products. Previous VP of Product and Growth for Wealthfront Inc., and Chief Growth Officer at Instacart.
Jeremy Stanley
(CTO)A data science, machine learning, and AI leader. Previous CTO at Collective, Chief Data Scientist & EVP of Engineering at Sailthru, and VP of Data Science at Instacart.
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