Lead MS Data Fabric Engineer (Visa independent only)

Lead MS Data Fabric Engineer (Visa independent only)

Posted 5 days ago by Tekfortune Inc.

Negotiable
Undetermined
Remote
Remote

Summary: The Lead Data Engineer role involves designing, building, and maintaining scalable data pipelines and architectures while leading a team to deliver robust data solutions. The position requires collaboration with stakeholders to understand data requirements and the implementation of modern technologies and cloud platforms. Key responsibilities include optimizing data systems for performance and cost-efficiency. The role is remote and focuses on Azure Cloud technologies and data management practices.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines and architectures.
  • Drive the design, architecture, and implementation of robust, scalable data pipelines (batch/streaming) and data warehouses.
  • Create efficient data models and manage data modeling standards for structured and unstructured data.
  • Optimize data systems and pipelines for performance, scalability, and cost-efficiency; resolve data-related issues.
  • Work with stakeholders (Data Scientists, Product Managers) to understand data requirements.
  • Define the strategy for adopting modern technologies and cloud platforms.

Key Skills:

  • Azure Cloud
  • MS Fabric
  • ADF
  • Azure SQL
  • Snyapse
  • DBT
  • Data Mesh implementation
  • Insurance domain knowledge

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title/Role Name Lead Data Engineer
Work Location (City, State) : Warren, New Jersey/ Remote
Open For Remote : Yes
Must have skills Azure Cloud, MS Fabric, ADF, Azure SQL, Snyapse, DBT
Preferred skills Data Mesh implementation, Insurance domain

Detailed Job Description

Designs, builds, and maintains scalable data pipelines and architectures, leading a team to deliver robust data solutions.
Drive the design, architecture, and implementation of robust, scalable data pipelines (batch/streaming) and data warehouses.
Create efficient data models and manage data modeling standards for structured and unstructured data.
Optimize data systems and pipelines for performance, scalability, and cost-efficiency; resolve data-related issues.
Work with stakeholders (Data Scientists, Product Managers) to understand data requirements.
Define the strategy for adopting modern technologies and cloud platforms