Azure Data & Microsoft Fabric Engineer

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About This Role

Wells Fargo is seeking Azure Data & Microsoft Fabric Engineer within Commercial and Corporate & Investment Banking Technology (CCIBT) to build, optimize, and support modern data platforms across our Azure and Microsoft Fabric. This role will focus on end-to-end data engineering - from ingestion and transformation to analytics, governance, and deployment - to enable scalable, secure, and high-performance data solutions.

In This Role, You Will

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor
  
  

Required Qualifications:

• 5 years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4 years of experience with Azure Data Factory, Azure Data Lake Storage (ADLS), Notebooks, SQL Analytics end points, and Synapse
• 4 years of experience with Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Dataflows)
• 4 years of experience with Power BI semantic modeling and report performance optimization
• 4 years of experience with SQL, Python, and PySpark skills
• 4 years of experience with Delta Lake, medallion architecture, and data modeling
• 4 years of experience with Git and CI/CD workflows
  
  

Desired Qualifications:

• Build ETL/ELT pipelines using Azure Data Factory, Synapse, or Fabric Pipelines
• Develop scalable data models using ADLS, PySpark / Spark SQL, Fabric Lakehouse & Warehouse
• Implement secure data architectures using Roles-based Access Controls (RBAC), Key Vault, Private Endpoints
• Build and maintain Fabric workloads: Lakehouse, Warehouse, Dataflows, Notebooks, Semantic Models
• Design and integrate semantic models with Power BI for enterprise reporting
• Optimize performance using DirectLake, partitioning strategies, and query tuning where appropriate
• Implement CI/CD for data assets using Azure DevOps/GitHub.
• Optimize cost and performance across Azure and Fabric environments.
  
  

Expectations:

• This position is not eligible for visa sponsorship
• This position offers a hybrid work schedule
• Must be able to work on-site at the listed location
• Relocation assistance is not available for this position
  
  

Locations:

• 300 S Brevard St., Charlotte, NC 28202
• 194 Wood Avenue S, Iselin, NJ 08830
  
  

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$119,000.00 - $224,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement
  
  

Posting End Date:

26 May 2026

• Job posting may come down early due to volume of applicants.
  
  

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants With Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment And Hiring Requirements

• Third-Party recordings are prohibited unless authorized by Wells Fargo.
• Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
  
  

Reference Number

R-540040-2