Data Solutions Architect

September 25

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Anomalo

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💰 $33M Series A on 2021-10

Description

• 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.

Requirements

• 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 • 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

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.