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Sr Lead Platform Engineer - Microsoft Fabric

Cox

Avondale Estates (GA)

On-site

USD 131,000 - 220,000

Full time

6 days ago
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Job summary

An established industry player is seeking a Senior Lead Platform Engineer with expertise in Microsoft Fabric to enhance their data solutions. This role involves leading projects, optimizing data integration, and ensuring the platform's performance. The ideal candidate will be a thought leader, driving automation and enhancing self-service analytics for data engineers and analysts. Join a dynamic team that values continuous improvement and innovation in a collaborative environment, where your contributions will significantly impact business operations and data governance.

Benefits

Flexible vacation policy
Paid holidays
Paid wellness hours
Bereavement leave
Volunteer time off
Military leave
Parental leave

Qualifications

  • 8+ years of experience in platform engineering or cloud administration.
  • 1+ year managing Microsoft Fabric in production environments.
  • Experience with Azure services and data pipelines.

Responsibilities

  • Lead projects to improve data integration and analytics on Microsoft Fabric.
  • Configure, secure, and optimize the Fabric platform for business needs.
  • Collaborate with teams to create scalable data solutions.

Skills

Microsoft Fabric
Data Warehousing
Data Lakes
Data Integration
Azure Active Directory
PowerShell
Python
Terraform
Infrastructure as Code (IaC)
Power BI

Education

Bachelor's degree in a related discipline
Master's degree in a related field
Ph.D. in a related field

Tools

Terraform
Ansible
Azure Data Factory
Azure Gateways

Job description

Senior Lead Platform Engineer - Microsoft Fabric

Job Summary:

The Cox Enterprise Data Solutions Team is seeking a Senior Lead Platform Engineer with expertise in Microsoft Fabric to join our Atlanta, GA team. This role will lead new projects, improve processes, and standardize data and analytics solutions on the Microsoft Fabric ecosystem. The engineer will drive creative solutions for complex problems, ensuring consistent and scalable data integration and analytics.

As a thought leader and subject matter expert, this engineer will take ownership of configuring, securing, and optimizing the Fabric platform to support business and operational data needs. They will solve complex technical challenges, drive automation, and enhance self-service analytics capabilities to enable data engineers, analysts, and business users to work efficiently within a governed framework. This role operates in a matrixed environment, collaborating across Enterprise Architecture, Data Engineering, Data Science, Business Analysis, and Citizen Developers. The ideal candidate brings deep technical expertise, strong problem-solving skills, and a passion for continuous improvement, ensuring Fabric remains a high-performing, scalable, and frictionless data platform.

Key Responsibilities:

  • Deep understanding of Microsoft Fabric architecture, capabilities, and administration.
  • Expertise in data warehousing, data lakes, and data integration practices.
  • Manage workspaces, access controls, data quality checks, and lifecycle management.
  • Configure and manage connections to databases, applications, and external services.
  • Analyze system performance and optimize Fabric usage.
  • Manage user accounts, permissions, and roles within Fabric.
  • Provision and manage compute capacities for data processing and analysis.
  • Strong knowledge of Azure Active Directory for user management and security.
  • Automate platform tasks using PowerShell, Python, and Terraform.
  • Design and manage infrastructure using Infrastructure as Code (IaC) with Terraform and Ansible.
  • Lead and mentor a team of Fabric administrators.
  • Proficient in Power BI, Azure Data Factory, and Azure Gateways.
  • Develop requirements, designs, test scenarios, and deployment plans in an agile environment.
  • Identify architectural issues and propose solutions.
  • Collaborate with data analysts, scientists, and business stakeholders to create secure, scalable solutions.


Required Qualifications:

  • Bachelor's degree in a related discipline and 8 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 6 years' experience; a Ph.D. and 3 years' experience in a related field; or 20 years' experience in a related field.
  • 7+ years in platform engineering, cloud administration, or data infrastructure.
  • 1+ year of experience managing Microsoft Fabric in a production environment.
  • 2+ years managing Azure services (Storage, Data Factory, Synapse).
  • Experience automating platform tasks using PowerShell, Python, or Terraform.


Preferred Qualifications:

  • 5+ years managing large-scale platform infrastructure.
  • 5+ years of experience with data warehousing and cloud-based ecosystems.
  • Expertise in Microsoft Fabric administration, governance, and performance tuning.
  • 3+ years managing cloud infrastructure (notebooks, data pipelines, Spark).
  • Proficiency in IaC using Terraform.
  • Strong problem-solving and troubleshooting skills.
  • Knowledge of data governance and security best practices.


USD 131,600.00 - 219,400.00 per year

Compensation:

Compensation includes a base salary of $131,600.00 - $219,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Benefits:

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
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