Lead Data Architect

New York, NY, United States


Role Location

  • New York, NY, United States


< 10 people


20 W 33 Rd St Fl 7
New York, NY, 10001, US

Tech Stack

  • Tensorflow
  • PostgreSQL
  • React
  • GraphQL
  • Python
  • Pandas
  • Apache Spark

Role Description

DeepFraud AI is seeking a Data Architect to be a key leader in design and implementation of the universal data architecture for our machine learning platform. This role will work directly with our technical founder (formerly Google) and data science team to help understand and track the flow of data. Using that understanding to design data models for are robust, flexible, encapsulated.Lead DeepFraud’s Data Architecture capabilities that help drive our growth.

There are lots of different people who will be successful in this role. Some key traits and experiences we think they all share are:

• Extensive experience designing schemas, data flows and data object models. • Extensive experience Data Mining, Data Analytics (running SQL queries and generating reports) and business process design • Experience designing Star/Snowflake Schemas • Experience with BI Tools like Tableau, Looker, Chartio, PowerBI • Experience building and deploying an Enterprise-wide Data Catalog solution • Experience with Python / Scala is preferred, knowledge of Spark a plus

As a Data Architect, You Will:

• Design and document the data topology to meet the requirements of our machine learning pipeline • Design the architecture and schemas for the tables and be the technical lead for architecting it to be extendable, testable, maintainable and debuggable • Design data models for optimal storage and retrieval, and optimize the data architecture to meet critical product and business requirements • Design and build our data architecture for large scale and high performance • Help define the overall governance of data to maintain our customers trust • Partner with other Stakeholders to ensure data strategies enable business value

About EvolutionIQ

DeepFraud provides a fraud detection and investigation platform for the world’s most innovative insurance companies. We’re delivering cognition and reasoning to one of the most data-rich but analytics-poor industries, and looking for people excited to join the founding team of this critically important application of deep learning and AI. Our mission is simple and audacious: Train a large-scale model to understand the world and find bad actors.

We are founded by a senior Google AI expert and a Bridgewater Associates Algorithmic Investor & Stanford MBA. We’re not looking for employees. We’re looking for partners in work, partners in culture-building, and partners in the future of digital forensics.

Our investors include First Round Capital (seed investors in Uber, Square, Looker), FirstMark (Airbnb, Pinterest, Shopify) and Foundation Capital (Lending Club, CoverWallet, Netflix).

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.