Lead Data Engineer - Graph Databases and Analytics

As a Lead Data Engineer at Wells Fargo, you will play a crucial role in leading complex technology initiatives that have a companywide impact. Your responsibilities will include designing, coding, testing, debugging, and documenting projects and programs. You will review and analyze large-scale technology solutions for tactical and strategic business objectives, as well as make decisions to develop standard best practices for engineering solutions. Collaboration with key technical experts and industry groups to resolve complex technical issues will be essential, and you will also lead projects, teams, or serve as a mentor. **Key Responsibilities:** - Lead complex technology initiatives with companywide impact - Develop standards and best practices for engineering large-scale technology solutions - Design, code, test, debug, and document projects - Review and analyze technology solutions for business objectives - Make decisions to develop best practices for technology solutions - Collaborate with technical experts to resolve issues - Lead projects, teams, or mentor peers **Qualifications Required:** - 5+ years of Software Engineering experience - Strong proficiency in Python for data manipulation and scripting - Extensive experience with PySpark for large-scale data processing - Deep understanding and hands-on experience with graph databases, specifically Neo4j or TigerGraph - Proficiency in graph query languages such as Cypher - Experience in GCP cloud and big query - Ability to lead and collaborate with business stakeholders for graph-based analytics and AI solutions As a Lead Data Engineer, you will be expected to lead, mentor, and guide a team of data engineers, architect solutions using graph databases for relationship analysis, and provide technical direction and support to team members. You will collaborate with various stakeholders, communicate technical concepts clearly, and lead the design and implementation of scalable data pipelines. Additionally, you will define and enforce best practices for data engineering, evaluate new technologies, and enhance the data platform with a focus on graph databases and GenAI integration. If you are a qualified candidate, including women, persons with disabilities, aboriginal peoples, and visible minorities, you are encouraged to apply to this equal opportunity position at Wells Fargo. Please note that the job posting may close early due to the volume of applicants. If you require a medical accommodation during the application or interview process, you can visit Disability Inclusion at Wells Fargo. Wells Fargo maintains a drug-free workplace and prohibits third-party recordings during the recruitment and hiring process. As a Lead Data Engineer at Wells Fargo, you will play a crucial role in leading complex technology initiatives that have a companywide impact. Your responsibilities will include designing, coding, testing, debugging, and documenting projects and programs. You will review and analyze large-scale technology solutions for tactical and strategic business objectives, as well as make decisions to develop standard best practices for engineering solutions. Collaboration with key technical experts and industry groups to resolve complex technical issues will be essential, and you will also lead projects, teams, or serve as a mentor. **Key Responsibilities:** - Lead complex technology initiatives with companywide impact - Develop standards and best practices for engineering large-scale technology solutions - Design, code, test, debug, and document projects - Review and analyze technology solutions for business objectives - Make decisions to develop best practices for technology solutions - Collaborate with technical experts to resolve issues - Lead projects, teams, or mentor peers **Qualifications Required:** - 5+ years of Software Engineering experience - Strong proficiency in Python for data manipulation and scripting - Extensive experience with PySpark for large-scale data processing - Deep understanding and hands-on experience with graph databases, specifically Neo4j or TigerGraph - Proficiency in graph query languages such as Cypher - Experience in GCP cloud and big query - Ability to lead and collaborate with business stakeholders for graph-based analytics and AI solutions As a Lead Data Engineer, you will be expected to lead, mentor, and guide a team of data engineers, architect solutions using graph databases for relationship analysis, and provide technical direction and support to team members. You will collaborate with various stakeholders, communicate technical concepts clearly, and lead the design and implementation of scalable data pipelines. Additionally, you will define and enforce best practices for data engineering, evaluate new technologies, and enhance the data platform with a focus on graph databases and GenAI integration. If you are a qualified candidate, including women, persons with disabilities, aboriginal peoples, and visible