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Senior Specialist - Systems Architecture Data

VS Tech Solutions60 open roles

Where
Princeton, New Jersey, United States
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Your applicationOpen nowSenior Specialist - Systems Architecture DataVS Tech Solutions · Princeton, New Jersey, United States
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The clock on this job

Early applications get read.

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Share of postings closed within
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  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 2 days ago

The posting

Skills: Data, Systems Architecture, Data Lake, Azure, Data Architecture Design, Data Management & Integration Design, Data Documentation, Logical, and Physical Data Models, Data Architect, MongoDB, NoSQL, PostgreSQL, Databricks, SQL, ETL, MDM, Azure Data Factory

JOB DESCRIPTION:

  • This is a unique opportunity to exercise your creativity and make an immediate impact across an entire enterprise.
  • Become a key player in vision of revolutionizing its data architecture with the latest technologies, including Data Lake & Azure Cloud
  • Very high buy-in and visibility by senior business management.
  • A chance to gain valuable domain experience in large and dynamic insurance sector of the economy.
  • Design and build data models for applications.
  • Design, develop and implement strategic conceptual, logical, business and application data models.
  • Ensure the quality of data and primary advocate of data modeling methods and data.
  • Develop and deliver long-term strategic goals for data architecture vision.
  • Establish processes for governing the identification, collection, and use of corporate metadata.
  • Create methods for tracking such data for quality, completeness, redundancy, and improvement.

RESPONSIBILITIES:

  • Data Architecture Design
  • Data Management & Integration Design
  • Data Documentation
  • Designing and maintaining the data models, including conceptual, logical, and physical data models
  • Selecting appropriate databases and data storage technologies, designing the overall structure of the data pipeline, and ensuring that the data architecture is scalable and efficient.
  • Designing and implementing data integration solutions to integrate data from various sources.
  • Designing and implementing data migration solutions to ensure that data can be migrated from one system to another efficiently and effectively.
  • Design and create data architecture, metadata, and repositories.
  • Develop and deliver long-term strategic goals for data architecture vision.
  • Evaluate hardware and software platforms.
  • Strategize what the best practices are in relation to data security, backup, disaster recovery and business continuity.

QUALIFICATIONS:

  • 7 10 years of experience as a data architect
  • Experience working on enterprise data lake projects, business intelligence tools & cloud deployments.
  • College degree or equivalent experience
  • Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database
  • Experience with Data Lake, Databricks, SQL, ETL and MDM
  • Experience with data integration services such as Azure Data Factory
  • Experience with Azure
  • Experience with business intelligence tools. PowerBI or Qlik is preferred
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