Senior Specialist - Systems Architecture Data

VS Tech Solutions; Princeton (NJ); Sur place; USD 150 000 - 190 000; Plein temps

Résumé du poste

A leading tech solutions firm based in Princeton, NJ, is looking for a Senior Specialist in Systems Architecture Data. This role involves innovating data architecture using Azure and Data Lake technology, with a strong emphasis on designing data integration solutions. The ideal candidate will have 7 to 10 years of experience in data architecture and proficiency in data management protocols and database technologies. This opportunity promises high visibility and strategic impact on the organization’s data practices.

Qualifications

• 7-10 years of experience as a data architect.
• Experience with enterprise data lake projects and cloud deployments.
• Proficiency in data integration services such as Azure Data Factory.
• Experience with business intelligence tools like PowerBI or Qlik is preferred.
• Experience with Data Lake, Databricks, SQL, ETL and MDM.
• Experience with Azure Data Factory.
• Experience with Azure.
• Experience with BI tools such as PowerBI or Qlik.

Responsabilités

• Design and implement strategic conceptual and logical data models.
• Create methods for tracking data quality, completeness, and improvement.
• Establish processes for governing corporate metadata identification and collection.
• Design and create scalable and efficient data architectures.
• Implementing data integration across diverse sources.
• Implementing data migration solutions between systems.
• Creating data architecture, metadata repositories, and governance processes.
• Developing long-term strategic goals for data architecture vision.

Connaissances

Data Architecture

Data Lake

Azure

MongoDB

NoSQL

Data Management & Integration Design

ETL

SQL

PostgreSQL

Databricks

MDM

PowerBI

Qlik

Formation

College degree or equivalent experience

Outils

MongoDB

PostgreSQL

Databricks

Azure Data Factory

Azure

PowerBI

Qlik

Description du poste

About the job Senior Specialist - Systems Architecture Data

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 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