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Senior Data Engineering Manager
Wells Fargo. Develop and execute a multi-year data engineering strategy aligned with enterprise technology, data, and AI priorities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Data Engineering, including leadership in large-scale data initiatives and cloud-based solutions. Proficient in establishing data governance, quality standards, and driving AI adoption within enterprise environments.
Highest-signal resume keywords
Data Engineering ExperienceCloud-Based Data SolutionsData ArchitectureLeadership ExperienceData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingETL/ELTDistributed Data ProcessingMachine LearningGenerative AIReal-Time AnalyticsData QualityData LineageData GovernanceAutomation
Soft Skills
LeadershipCollaborationCoachingMentoringInfluencing
Tools & Technologies
Cloud TechnologiesData LakesStreaming SolutionsAI PlatformsDevOpsAgile Methodologies
Industry Keywords
Risk ManagementRegulatory ComplianceData AccessibilityOperational ExcellenceData Stewardship
Tech Stack
Tools & technologiesCloudETL
About the role
Key responsibilities & impact- Develop and execute a multi-year data engineering strategy aligned with enterprise technology, data, and AI priorities
- Partner with senior business and technology leaders to identify opportunities for data and AI to improve customer experiences, operational efficiency, risk management, and business outcomes
- Translate business objectives into scalable technology investments and engineering roadmaps
- Drive innovation while balancing operational stability, risk management, and regulatory requirements
- Lead development of AI-ready data platforms supporting machine learning, Generative AI, advanced analytics, and intelligent automation
- Partner with Data Science, Analytics, Risk, Product, and Architecture teams to accelerate AI adoption and operationalize enterprise-scale AI solutions
- Establish best practices for data accessibility, model readiness, data quality, lineage, governance, and responsible AI
- Evaluate emerging technologies and opportunities to leverage AI and automation
- Drive adoption of modern data architectures supporting real-time analytics, predictive insights, and AI-driven decision-making
- Lead, mentor, and develop data engineers, engineering managers, and technical leaders
- Build organizational capability through coaching, succession planning, and leadership development
- Attract, retain, and develop engineering talent
- Foster engineering excellence through software engineering practices, automation, DevOps, and Agile methodologies
- Oversee design, development, and support of enterprise-scale data platforms, data lakes, streaming solutions, and cloud-native data architectures
- Ensure solutions are scalable, reliable, secure, and compliant with enterprise standards
- Drive platform modernization using cloud technologies, automation, and reusable engineering patterns
- Establish standards for data quality, observability, metadata management, resiliency, and operational excellence
- Partner with architecture and security teams to align with enterprise technology standards
- Ensure compliance with risk management, information security, and regulatory requirements
- Promote data governance, controls, lineage, privacy, and stewardship practices
- Lead engineering teams through audits, regulatory reviews, and remediation efforts
Requirements
What you’ll need- 7+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education
- 3+ years of management or leadership experience
- 5+ years of experience leading large-scale data engineering initiatives and enterprise data platforms
- 4+ years of experience delivering cloud-based data and analytics solutions
- 5+ years of experience in data architecture, data modeling, ETL/ELT, metadata management, data governance, and distributed data processing
- 3+ years of experience influencing and collaborating with senior technology and business leaders
- This position is not eligible for Visa sponsorship or transfer of visa
Benefits
Comp & perks- Incentive opportunities
- Wells Fargo US employee benefits
- Wells Fargo international employee benefits
- Relocation assistance is not available for this position