Data Architect

  • location: New York, NY
  • type: Permanent
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job description

Data Architect

job summary:
Data Architect

A leading provider of retirement and insurance products and services, is seeking a Data Architect to provide hands-on, execution focused role helping translate data architecture to execution, enabling the use of enterprise data and data driven insights. The Data Architect will design, develop and implement data models for Company applications and systems at the conceptual, logical, business area and application level. The Data Architect will have an understanding of Company data at a granular level and, function as organizational subject matter expert for the various enterprise data management (EDM) projects. The position reports to the Vice President, Enterprise Data Management.

Position Description:

  • Support data initiatives that are aligned with and prioritized against Corporate goals and objectives with a focus on data architecture and use of big data and advanced analytics
  • Understand our existing transactional and analytical data domains, data elements and architecture deeply
  • Lead teams building analytical systems to provide insight into and power all corners of our business, from marketing, sales, operations/administration to client servicing.
  • Understand data user requirements and existing data environments, and translate these configurations into a data architecture that meets performance, scalability, and availability needs
  • Extract best-practice knowledge, reference architectures, and patterns for sharing with the company wide solution architect community and team
  • Leads design reviews of data deliverables such as models, data flows, and data quality assessments
  • Perform data analysis, discovery, profiling and identify cause of data issues and work with broader team to resolve
  • Work with Data Management to establish governance processes around metadata to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata
  • Creating the end-to-end architecture for Data ingestion, transformation and visualization to host on Data Discovery Platform. It involves selection of suitable tools from Hadoop based on scalability, performance and requirements
Required Knowledge, Skills and Abilities:

  • Bachelor's degree in Computer Science, Engineering or related technical field w/10+ years of experience as a data or information architect, applying data management principles and industry standards to design, build and maintain complex data model assets in Operational Data Store, Data Warehouse, Data Mart and Data Lake applications.
  • Hands-on experience with data mining, large-scale data modeling, and business requirements gathering/analysis.
  • Direct experience in implementing enterprise data management processes, procedures, and decision support.
  • Understanding of, and experience working in, a modern data science stack.
  • Strong SQL skills, experience with data preparation, discovery and script writing and an appreciation for data visualization
  • Apache Hadoop, Apache Spark and/or NoSQL-based solutions experience desired (e.g., Hadoop MapReduce, Hive)
  • Knowledge in back-end programming, specifically Java, JavaScript, MS-Angular, MS.NET
  • Hands on experience leading large-scale enterprise data warehousing, data lake and analytics projects w/ a passion for data and experience working within a data driven organization
Excellent presentation, communication (oral & written), and relationship building skills, across all levels of management

 
location: New York, New York
job type: Permanent
work hours: 8 to 5
education: Bachelors
 
responsibilities:
  • Support data initiatives that are aligned with and prioritized against Corporate goals and objectives with a focus on data architecture and use of big data and advanced analytics
  • Understand our existing transactional and analytical data domains, data elements and architecture deeply
  • Lead teams building analytical systems to provide insight into and power all corners of our business, from marketing, sales, operations/administration to client servicing.
  • Understand data user requirements and existing data environments, and translate these configurations into a data architecture that meets performance, scalability, and availability needs
  • Extract best-practice knowledge, reference architectures, and patterns for sharing with the company wide solution architect community and team
  • Leads design reviews of data deliverables such as models, data flows, and data quality assessments
  • Perform data analysis, discovery, profiling and identify cause of data issues and work with broader team to resolve
  • Work with Data Management to establish governance processes around metadata to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata
  • Creating the end-to-end architecture for Data ingestion, transformation and visualization to host on Data Discovery Platform. It involves selection of suitable tools from Hadoop based on scalability, performance and requirements
 
qualifications:
Required Knowledge, Skills and Abilities:

  • Bachelor's degree in Computer Science, Engineering or related technical field w/10+ years of experience as a data or information architect, applying data management principles and industry standards to design, build and maintain complex data model assets in Operational Data Store, Data Warehouse, Data Mart and Data Lake applications.
  • Hands-on experience with data mining, large-scale data modeling, and business requirements gathering/analysis.
  • Direct experience in implementing enterprise data management processes, procedures, and decision support.
  • Understanding of, and experience working in, a modern data science stack.
  • Strong SQL skills, experience with data preparation, discovery and script writing and an appreciation for data visualization
  • Apache Hadoop, Apache Spark and/or NoSQL-based solutions experience desired (e.g., Hadoop MapReduce, Hive)
  • Knowledge in back-end programming, specifically Java, JavaScript, MS-Angular, MS.NET
  • Hands on experience leading large-scale enterprise data warehousing, data lake and analytics projects w/ a passion for data and experience working within a data driven organization
Excellent presentation, communication (oral & written), and relationship building skills, across all levels of management

 
skills: Required Knowledge, Skills and Abilities:

  • Bachelor's degree in Computer Science, Engineering or related technical field w/10+ years of experience as a data or information architect, applying data management principles and industry standards to design, build and maintain complex data model assets in Operational Data Store, Data Warehouse, Data Mart and Data Lake applications.
  • Hands-on experience with data mining, large-scale data modeling, and business requirements gathering/analysis.
  • Direct experience in implementing enterprise data management processes, procedures, and decision support.
  • Understanding of, and experience working in, a modern data science stack.
  • Strong SQL skills, experience with data preparation, discovery and script writing and an appreciation for data visualization
  • Apache Hadoop, Apache Spark and/or NoSQL-based solutions experience desired (e.g., Hadoop MapReduce, Hive)
  • Knowledge in back-end programming, specifically Java, JavaScript, MS-Angular, MS.NET
  • Hands on experience leading large-scale enterprise data warehousing, data lake and analytics projects w/ a passion for data and experience working within a data driven organization
Excellent presentation, communication (oral & written), and relationship building skills, across all levels of management


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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