Senior Database Engineer - Data & Analytics

Wells Fargo - Irving, TX

Full-time - Mid Level

Irving, TX

Credit Intermediation and Related Activities

About the position

The Senior Database Engineer - Data & Analytics at Wells Fargo will play a crucial role in transforming and modernizing operational and analytic data across Consumer Technologies. This position focuses on implementing best-in-class engineered technologies and practices that are agile, compliance-oriented, and aimed at delivering high-quality products and services at scale. The role involves providing technical expertise, solution design, and hands-on development for data products, while driving the Data and Analytics Strategy & Roadmap across Consumer Technology.

Responsibilities

• Lead or participate in database management activities including designing highly complex logical and physical databases.
• Lead highly complex data modeling, mapping, integration, and capacity planning efforts.
• Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques, advanced data from multiple sources, and mathematics behind data analysis across the enterprise.
• Collaborate with Business Partners and application SMEs to align project objectives and manage expectations during development, manage JIRA Backlog, and identify and mitigate risk.
• Partner with Enterprise Data Services organization on Enterprise Data Strategy.
• Ensure Data-related design patterns and best practices are front and center of technology practices in the organization.
• Conduct technical training sessions for technical and line of business users.

Requirements

• 4+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• 2+ years of technical leadership or architecture experience in a data and technical environment.
• 3+ years of experience leading in Data Engineering, Data Management, SQL Server, Teradata, Oracle, MongoDB, ETL, SAS, Tableau.
• 3+ years of experience in Business Intelligence Tools SSIS, SSRS, SSAS, Tableau or Power BI.
• 3+ years of experience in Big Data technologies (Hadoop, Hive, Spark, Kafka, etc.).
• 3+ years of experience in designing, building and managing large-scale data solutions in a Public, Private, or Hybrid cloud environment.
• 3+ years of Financial Services, Merchant Services, or Credit Card industry experience.
• 3+ years of experience with Data Engineering, Application Support and/or Technology Operations.
• 2+ years of experience in C# and VB.NET programming.

Nice-to-haves

• A Master's Degree in Data Science, Statistics or relevant field.
• Expertise in Autosys and CICD pipeline.
• Experience with Agile practices including Jira backlog management.
• Experience with Data architecture, design, and management.
• Experience in SQL Server migration.

Benefits

• Hybrid work schedule
• Diversity, equity, and inclusion initiatives
• Drug and Alcohol Policy compliance support