Lead Data Engineer (#000489)

About the role

Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo's more than 70 million global customers.

Responsibilities

• Act in a technical role as an individual contributor and assist in designing solutions for complex computer applications and/or application initiatives.
• Apply a thorough understanding of available technologies, tools, and existing design frameworks to engineering tasks.
• Evaluate intangible variance factors through data and situational analysis to lead multiple complex modeling and analysis efforts across various business domains.
• Serve as an expert technical resource to data Engineering staff during the design, testing, and implementation phases.
• Contribute as a key participant in large scale software planning initiatives within the Technology organization.
• Design data services that support Strategic Enterprise Risk Management and build high-performing, scalable data pipeline platforms using Hadoop, Ab Initio, EXADATA, and cloud-based solutions.
• Perform data analysis and modeling tasks within a data warehouse environment to support business intelligence and reporting needs.
• Execute SQL queries to analyze data and troubleshoot technical issues.
• Identify issues in data and applications and collaborate with engineering and product leadership to design effective solutions.
• Make informed decisions in multi-faceted data engineering scenarios requiring deep understanding of technology, data structures, and relationships.
• Strategically collaborate and consult with internal partners to resolve high-risk data engineering challenges.
• Maintain and manage data architecture for multiple applications using established software architecture design principles.
• Perform scoping activities, gather technical and business requirements, and lead design efforts across all assigned projects.
• Create data models and design data structures to enable seamless integration across various applications and platforms.
• Engage throughout the entire project lifecycle-from requirements gathering to production implementation-with a strong focus on technical requirements and database design.

Requirements

• Education: Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Experience: 5 years of experience in the job offered or in a related position involving software engineering experience.
• Skills: Experience designing and building scalable data pipelines using technologies such as Hadoop, Ab Initio, EXADATA, and cloud platforms; Proven ability to perform complex data modeling and analysis within a data warehouse environment; Strong experience in writing and optimizing SQL queries for data analysis and troubleshooting; Hands-on experience with distributed computing frameworks and big data tools to manage large-scale data processing; Experience implementing data services and platforms in cloud environments (e.g., AWS, Azure, GCP); Ability to design data services that support Strategic Enterprise Risk Management functions; Demonstrated ability to make decisions in multi-faceted data engineering scenarios involving complex data relationships; Experience collaborating with engineering, product, and internal business teams to resolve high-risk data challenges; Proven track record of leading multiple modeling and analysis efforts with broad impact across the organization.

Qualifications

• Ability to act in a technical role as an individual contributor and assist in designing solutions for complex computer applications and/or application initiatives.
• Thorough understanding of available technologies, tools, and existing design frameworks to engineering tasks.
• Evaluation of intangible variance factors through data and situational analysis to lead multiple complex modeling and analysis efforts across various business domains.
• Serving as an expert technical resource to data Engineering staff during the design, testing, and implementation phases.
• Contributing as a key participant in large scale software planning initiatives within the Technology organization.
• Designing data services that support Strategic Enterprise Risk Management and building high-performing, scalable data pipeline platforms using Hadoop, Ab Initio, EXADATA, and cloud-based solutions.
• Performing data analysis and modeling tasks within a data warehouse environment to support business intelligence and reporting needs.
• Executing SQL queries to analyze data and troubleshoot technical issues.
• Identifying issues in data and applications and collaborating with engineering and product leadership to design effective solutions.
• Making informed decisions in multi-faceted data engineering scenarios requiring deep understanding of technology, data structures, and relationships.
• Strategically collaborating and consulting with internal partners to resolve high-risk data engineering challenges.
• Maintaining and managing data architecture for multiple applications using established software architecture design principles.
• Performing scoping activities, gathering technical and business requirements, and leading design efforts across all assigned projects.
• Creating data models and designing data structures to enable seamless integration across various applications and platforms.
• Engaging throughout the entire project lifecycle-from requirements gathering to production implementation-with a strong focus on technical requirements and database design.

Benefits

• Telecommuting is permitted up to 2 days a week.
• Position must appear in person to the location listed as the work address.
• Travel required: 0%

Pay

• Details about pay are not specified in this job posting.

Schedule

• Details about schedule are not specified in this job posting.