Cloud Data Solutions Architect

3 weeks ago


Phoenix, Arizona, United States Disability Solutions Full time
Job Title:
Cloud Data Solutions Architect

About the Role:
We are seeking a highly skilled Cloud Data Solutions Architect to join our team in Disability Solutions. As a Cloud Data Solutions Architect, you will be responsible for designing, building, and implementing critical components of the enterprise data platform in accordance with the strategic data and analytics needs of Western Alliance Bank.

This is a challenging role that requires strong technical knowledge and expertise in cloud data engineering, data management, and technology. You will work closely with data analysts, data engineers, enterprise architects, and business stakeholders to develop a cross-business unit data tier that improves regulatory reporting and analytics capabilities, including Large Financial Institution requirements. Your expertise will also be essential in mentoring other data professionals and influencing the culture of data integration practices and enterprise data flows.

About the Salary:
The estimated salary for this role is $145,000 per year, based on national averages and industry standards. This compensation package includes competitive salaries, an ownership stake in the company, medical and dental insurance, time off, a great 401k matching program, tuition assistance program, employee volunteer program, and wellness program.

Key Responsibilities:
  • Implement data engineering solutions that satisfy the full data lifecycle, including efficient technical hygiene and the use of Azure DevOps.
  • Develop ETL and data pipeline capabilities considering how data is created, transformed, maintained, stored, archived, analyzed, and shared across Western Alliance Bank and its partners.
  • Implement Azure DevOps CI/CD pipelines in accordance with Western Alliance Bank technical standards.
  • Apply Test Driven Development methodology to all data solution design and implementations.

Requirements:
Bachelor's degree in engineering or related field or equivalent experience in data management and/or data analytics. 8+ years' experience with data engineering specifically in Extract, Transform and Load (ETL) concepts and processes, enterprise data warehouse capabilities, database principles, and other related tools and technologies.
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