Lead Software Engineer - Data Engineer

About this role: Wells Fargo is seeking a Lead Software Engineer (Data Engineering & Cloud Platforms). We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. In this role, you will: Lead complex technology initiatives including those that are companywide with broad impact Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines Design, code, test, debug, and document for projects and programs Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals Lead projects, teams, or serve as a peer mentor Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: B.E./B.Tech. or M.E./M.Tech. in Computer Science, Information Technology, ECE, or related discipline with a strong academic record. Experience with ETL tools such as Ab Initio, Informatica, DataStage, Talend, SSIS, or similar platforms. Strong experience in Google Cloud Platform (GCP) and cloud-based data engineering solutions. Experience with Agile delivery methodologies and CI/CD practices. Knowledge of data governance, metadata management, and data quality frameworks. Experience leading design reviews and mentoring engineering teams. Preferred GCP Skills Hands-on experience with the following GCP services is highly desirable: BigQuery for enterprise data warehousing and analytics. Cloud Storage (GCS) for scalable storage solutions. Dataproc for Spark and Hadoop workloads. Dataflow for batch and streaming data processing. Cloud Composer (Airflow) for workflow orchestration and scheduling. Pub/Sub for event-driven and real-time data integration. BigLake and BigQuery External Tables for unified analytics. Cloud Functions and Cloud Run for serverless data processing. Vertex AI exposure for AI/ML-driven data use cases. Secret Manager and Cloud KMS for security and key management. IAM, VPC, Logging, Monitoring, and Cloud Operations Suite for governance and operational excellence. Experience building data lake and lakehouse solutions on GCP. Job Expectations: Lead the design, development, implementation, and support of enterprise-scale data engineering and ETL/ELT solutions. Architect and build scalable, reliable, and high-performance data pipelines leveraging cloud-native technologies and modern data platforms. Drive technical direction and provide guidance to engineering teams on best practices for data integration, transformation, and orchestration. Design and develop data ingestion, transformation, and curation frameworks using Python, PySpark, SQL, and ETL tools. Lead cloud modernization initiatives and implement data solutions on Google Cloud Platform (GCP). Design and optimize data models, data warehouses, and data marts to support business intelligence and analytics initiatives. Ensure data quality, governance, security, and compliance requirements are incorporated into all solutions. Drive performance tuning,