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Staff Data Engineer (Full Time)
Western Alliance Bank
Remote
Posted 1 week ago
Title: Staff Data Engineer
Location: Remote
Must haves:
ETL mapping – mapping from one source to another
Understanding of data governance
Azure Data Factory
Azure DevOps
Azure Synapse
SQL
What you’ll do:
As the Staff Data Engineer, you are accountable to design, build, and implement critical components of the enterprise data platform in accordance with the strategic data and analytics needs of Western Alliance Bank.
This challenging role requires the best of your data management, cloud data engineering and technology knowledge to develop a cross-business unit data tier that is leveraged to improve our products and deliver insights. The Staff Data Engineer I is a pioneer in our modern data platform working directly with data analysts and data engineers. Embedded in the Enterprise Data & Analytics function, you influence the culture of data integration practices and enterprise data flows and are essential to mentoring other data professionals.
This role is also the lead engineer in a continuous delivery team dedicated to providing enterprise data flows and analytic solutions across our Western Alliance Bank business lines. You are the technical expert in a high-performing centralized team of data engineers, data analysts and QA engineers. You champion data quality and discipline in the full data lifecycle. You must demonstrate strong technical mastery as well as an ability to collaborate and communicate with both technical team members and business stakeholders. You partner closely with enterprise architects to understand and implement solutions based on the recommended Azure Cloud data architecture and capabilities. You are required to know and/or learn modern automation and integration methods and tools, with Cloud-First design patterns, frameworks, critical thinking, and problem-solving skills. Being knowledgeable and up to date in the analytics trends in the industry is a differentiator in your role.
Job Features
Job Category
Data Analyst, Data Science