Technology Director – Fungible Data Platforms & Database Modernization

Technology Director Fungible Data Platforms & Database Modernization

Job Description

About this role:

Wells Fargo is seeking a Technology Director Fungible Data Platforms & Database Modernization within Database Technology. This is a deeply technical M4 leadership role responsible for defining and executing the enterprise strategy for database portability migration engineering platform abstraction and AI-assisted modernization across the strategic database estate.

Fungible Data Platforms is a cornerstone of the Database Technology strategy. The capability is essential to reducing platform dependency accelerating modernization and increasing the organizations ability to optimize database placement based on cost resiliency performance risk and strategic technology direction. As applications become more tightly coupled to individual database platforms migrations become increasingly complex expensive and time-consuminglimiting the enterprises ability to respond quickly to changing business and technology needs.

The successful candidate will bring technical depth and enterprise influence comparable to a Distinguished Engineer combined with the organizational leadership and execution accountability expected of a Technology Director. This leader will serve as the enterprise technical authority for database portability migration architecture AI-enabled code conversion and cross-platform modernization.

Working across Database Engineering Automation Architecture Cybersecurity and application development organizations this leader will establish the engineering frameworks standards and reusable capabilities required to reduce migration timelines from months to days. The role will provide critical technical leadership for SQL Server lifecycle remediation New Generation Data Center migrations strategic platform adoption database standardization and broader application modernization programs.

In this role you will:

Define the Fungible Data Platform Technical Strategy

• Establish the enterprise technical strategy and target-state architecture for database portability and cross-platform workload mobility
• Define engineering principles architecture standards and reusable patterns that reduce application dependency on specific database platforms
• Develop a multi-year technical roadmap for platform abstraction automated migration code conversion and workload portability
• Establish decision frameworks for selecting target database platforms based on workload requirements cost resiliency security performance and strategic alignment
• Serve as the principal technical authority for complex database modernization and portability decisions

Lead AI-Assisted Database Transformation

• Drive the engineering of AI-assisted capabilities for Structured Query Language code conversion schema transformation stored procedure remediation compatibility analysis and migration validation
• Establish technical standards for the responsible use of generative AI and machine learning within database migration and modernization workflows
• Lead development of automated capabilities that analyze application and database dependencies identify transformation requirements and recommend target-state patterns
• Implement quality controls testing mechanisms and human oversight to improve the reliability and auditability of AI-generated database transformations
• Apply AI and advanced analytics to continuously improve migration accuracy speed repeatability and engineering productivity

Engineer Enterprise Migration Frameworks

• Design reusable migration frameworks that support assessment discovery dependency mapping schema conversion data movement testing reconciliation cutover and post-migration validation
• Establish automation patterns that reduce manual engineering effort and enable migration capabilities to scale across the enterprise
• Define reference architectures and engineering standards for migrations between relational distributed Structured Query Language NoSQL cloud-native and other strategic database platforms
• Create repeatable migration factories and self-service capabilities that application teams can use with appropriate controls and engineering oversight
• Establish rollback resiliency data-integrity and operational-readiness standards for enterprise database migrations

Reduce Platform Dependency and Vendor Lock-In

• Define platform abstraction patterns that separate application business logic from proprietary database functionality
• Establish standards for portable data access schema design query construction transaction management and database integration
• Identify high-impact platform dependencies and create engineering strategies to remediate or contain them
• Influence application architecture early in the development lifecycle to prevent unnecessary platform-specific coupling
• Enable the enterprise to make future database placement decisions without incurring disproportionate application redevelopment or migration costs

Accelerate Strategic Modernization Programs

• Provide technical leadership for SQL Server lifecycle remediation database platform consolidation New Generation Data Center migrations and strategic database adoption
• Partner with application teams to resolve complex compatibility performance data integrity and operational challenges
• Establish modernization pathways that balance immediate lifecycle requirements with the long-term Fungible Data Platforms strategy
• Ensure migration solutions meet enterprise expectations for security resiliency recoverability observability performance and regulatory compliance
• Drive technical resolution of the most complex and business-critical database transformation initiatives

Establish Engineering Standards and Technical Governance

• Create enterprise standards for database portability migration architecture code conversion testing data reconciliation and production cutover
• Lead technical design reviews for complex migration and modernization initiatives
• Establish technical acceptance criteria and quality gates that determine production readiness
• Govern exceptions to portability and modernization standards and ensure that approved deviations include documented risk treatment plans
• Define measures for migration speed conversion accuracy automation coverage platform dependency reduction quality and realized cost optimization

Lead Technical Innovation and Proofs of Concept

• Evaluate emerging database technologies migration products abstraction frameworks and AI-assisted engineering capabilities
• Direct prototypes and proofs of concept to validate new modernization approaches before enterprise adoption
• Translate experimentation into production-grade engineering patterns reusable services and supported enterprise capabilities
• Maintain awareness of industry developments in distributed databases cloud-native data services AI-assisted software engineering and automated transformation
• Advise senior executives on technology opportunities constraints architectural tradeoffs and investment priorities

Build and Lead a High-Performing Engineering Organization

• Lead engineering managers principal engineers architects and senior technical specialists responsible for fungible platform capabilities
• Establish a strong engineering culture centered on technical excellence automation reusable design measurable outcomes and continuous improvement
• Attract develop and retain highly specialized database automation artificial intelligence and migration engineering talent
• Create opportunities for senior engineers to influence enterprise architecture and solve complex cross-platform challenges
• Establish communities of practice to increase database modernization expertise across the United States India and other global locations

Influence Enterprise Stakeholders and Drive Cross-Organizational Alignment

• Partner with Database Engineering Infrastructure Engineering Enterprise Architecture Cybersecurity application development and Chief Information Officer organizations
• Engage application leaders early to incorporate portability and modernization requirements into technology roadmaps
• Communicate complex architecture decisions engineering tradeoffs risks and investment needs to senior executives
• Build enterprise alignment around strategic database standards while recognizing legitimate workload-specific requirements
• Represent Database Technology in architecture governance forums modernization programs and senior technical communities

Leadership & Scope

• Leads the Fungible Data Platforms pillar within the enterprise Database Technology strategy
• Operates with the technical credibility and enterprise influence expected of a Distinguished Engineer while carrying M4-level organizational talent investment and delivery accountability
• Leads a highly specialized organization of engineering managers architects principal engineers automation engineers and database modernization specialists
• Provides technical direction across multiple database products engineering teams application portfolios and modernization programs
• Influences enterprise architecture and engineering decisions beyond the leaders direct reporting organization
• Owns the technical roadmap and execution required to materially reduce database migration timelines engineering effort platform dependency and modernization cost
• Represents Database Technology in senior executive architecture engineering risk and investment governance forums

Required Qualifications

• 8 years of Technology Strategic Leadership experience or equivalent demonstrated through one or a combination of work experience training military experience or education
• 4 years of management or leadership experience
• 10 years of experience in database engineering data architecture distributed systems platform engineering or enterprise application modernization
• 8 years of experience designing or leading complex database migration modernization or platform transformation initiatives
• Demonstrated ability to operate at a Distinguished Engineer level by defining technical strategy solving highly complex engineering problems and influencing technology direction across a large enterprise
• Deep technical expertise in database internals data architecture query processing transaction management schema design performance engineering resiliency and data movement
• Experience with multiple relational distributed Structured Query Language NoSQL and cloud-native database technologies
• Experience designing automation frameworks migration tooling code-conversion capabilities or large-scale engineering platforms
• Experience leading highly technical engineering teams in large complex and regulated environments
• Experience communicating complex technical strategies and architectural tradeoffs to both engineering and executive audiences

Desired Qualifications

• Demonstrated expertise across platforms such as Microsoft SQL Server Oracle Database PostgreSQL MongoDB YugabyteDB or comparable strategic database technologies
• Experience designing database abstraction layers portable data-access patterns compatibility frameworks or cross-platform engineering standards
• Experience applying generative AI machine learning static code analysis or semantic analysis to software and database transformation
• Working knowledge of programming and scripting languages such as Python Java C# Go PowerShell or equivalent languages used in enterprise automation
• Experience with Structured Query Language dialect conversion stored procedure transformation schema conversion and automated regression testing
• Experience with container platforms cloud-native architecture infrastructure as code continuous integration and continuous delivery and automated software delivery practices
• Strong knowledge of database security encryption identity and access management data protection regulatory controls and secure development practices
• Experience building enterprise platforms or engineering capabilities that are consumed by multiple application and infrastructure organizations
• Demonstrated ability to convert proofs of concept into secure resilient supported and scalable production capabilities
• Experience developing technical talent and creating career pathways for principal engineers architects and other senior technologists
• Bachelors degree in Computer Science Engineering Data Science or a related technical discipline; advanced degree preferred
• Relevant cloud architecture database artificial intelligence or security certifications
• Exceptional technical judgment executive communication organizational leadership and cross-functional influencing skills

Job Expectations

• This position requires the ability to work in an in-office hybrid environment.
• This position is not available for Visa sponsorship.
• This position does not have a relocation allowance.

Strategic Impact

This role will establish the technical foundation required to make enterprise database workloads more portable modernizable and responsive to changing technology priorities. By combining Distinguished Engineer-level technical authority with M4-level organizational leadership this position will reduce platform dependency accelerate migrations from months to days increase automation support lifecycle and data center remediation and enable the enterprise to make database placement decisions based on cost resiliency performance risk and strategic value rather than application lock-in.

Charlotte-Concord-Gastonia NC-SC (300 S Brevard St.)

Phoenix-Mesa-Chandler AZ (2222 W Rose Garden Ln.)

New York-Newark-Jersey City NY-NJ-PA (194 S Wood Ave. (Metro Park))

Posting End Date:

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other legally protected characteristic.

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