Data Architect

Nomis Solutions

Toronto, Ontario, CA
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 01/08/2021
  • Website: nomissolutions.com
  • Company Address: 1111 Bayhill Drive, San Bruno, CA, 94066

About Nomis Solutions

Nomis helps retail banks deliver win-win customer engagement through price optimization, customer-centric offers, and omni-channel sales enablement. More than 10,000 bankers worldwide leverage Nomis’ cutting-edge Silicon Valley approach to big data, advanced modeling, and deep analytics to understand and anticipate the demands of their customers, competitor actions, and dynamic market conditions.

Job Description

Data Architect / Principal Data Engineer

We are seeking a talented Data Architect / Principal Data Engineer with a strong technical background and experience with fast paced technology startups.

Who We Are & What We Build

We partner with Banks and FinTechs on their journey to best-in-class pricing technology and analytics so that they deliver more value to their customers, employees and shareholders. Our top-notch people, proven technology, and innovative analytics are tackling big data challenges at banks and lenders every day. We deliver market-leading cloud-based Pricing & Profitability Management solutions and insights for the Banking & Financial Services industry leveraging cutting-edge behavioral data science. We are a Blue Chip venture-backed company with the vision to transform the consumer banking landscape. 

Who You Are

Nomis is developing a highly scalable, super-efficient, big data platform that feeds our predictive analytics and software products. You are an ideal candidate if you have hands-on experience implementing data management frameworks that power analytical applications using relational, unstructured AND big data technologies.

Job Responsibilities:

  • Design, develop, and maintain highly scalable infrastructure for data pipelines to ingest data from external sources, store in data stores that are scalable, secured, and accessible by other services in the organization
  • Work in a cross-functional team of software architects, modeling scientists, project managers and other key stake holders to drive overall architecture.
  • Work with professional services to operationalize this data platform for various customer implementations.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics

Qualifications:

  • Extensive experience in software development, serverless architecture, and design-driven development
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Experience building processes supporting data transformation, data structures, metadata, dependency and workload management
  • Experience with AWS cloud services: Lambda, EC2, EMR, RDS, Redshift, S3
  • Experience with big data tools: Hadoop, HIVE / PIG, Spark, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Mongo.
  • Experience with data pipeline and workflow management tools such as Airflow

Experience:

  • 10+ years of experience in Data Architecture
  • 4+ years of experience in Big Data Architecture
  • 4+ years of experience on AWS
  • Strong background in relational databases
  • Strong background in MapReduce/Hadoop frameworks
  • Experience in ETL frameworks
  • Expertise in job scheduling (custom and open source), data quality, metadata management and monitoring systems
  • Experience handling retail bank/financial institution data a plus
  • BS in computer science, or other related discipline

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.