Technology Director – Fungible Data Platforms, Database Modernization

Jobtailor

Arizona

Hybrid

USD 180,000 - 240,000

Full time

5 days ago

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Job summary

Jobtailor is seeking an experienced Senior Technology Leader to define enterprise database modernization strategy, drive cross-platform migration, and lead AI-assisted transformation initiatives. You will shape roadmaps, build reusable migration frameworks, and collaborate with CIO and executive teams in a hybrid in-office setting.

Responsibilities include directing SQL Server and other database platform modernization efforts, establishing standards and governance, and delivering secure,

Qualifications

8+ years of Technology Strategic Leadership experience, or equivalent demonstrated through 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
Distinguished Engineer-level technical strategy, complex problem-solving, and enterprise influence
Deep expertise in database internals, data architecture, query processing, transaction management, schema design, performance engineering, resiliency, and data movement
Experience with multiple relational SQL, distributed SQL, 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 technical strategies and architectural tradeoffs to engineering and executive audiences
Demonstrated expertise with database platforms such as Microsoft SQL Server, Oracle Database, PostgreSQL, MongoDB, YugabyteDB, or comparable technologies
Experience with database abstraction layers, portable data-access patterns, compatibility frameworks, or cross-platform standards
Experience applying generative AI, machine learning, static code analysis, or semantic analysis to software and database transformation
Working knowledge of Python, Java, C#, Go, PowerShell, or equivalent enterprise automation languages
Experience with SQL dialect conversion, stored procedure transformation, schema conversion, and automated regression testing
Experience with container platforms, cloud-native architecture, infrastructure as code, CI/CD, and automated software delivery
Knowledge of database security, encryption, identity and access management, data protection, regulatory controls, and secure development
Experience building enterprise platforms consumed by multiple application and infrastructure organizations
Ability to convert proofs of concept into secure, resilient, supported, and scalable production capabilities
Experience developing technical talent and career pathways for senior technologists
Bachelor's degree in Computer Science, Engineering, Data Science, or related technical discipline; advanced degree preferred
Relevant cloud, architecture, database, artificial intelligence, or security certifications
Ability to work in an in-office hybrid environment
Must not require visa sponsorship
No relocation allowance is provided

Responsibilities

Define the enterprise technical strategy and target-state architecture for database portability and cross-platform workload mobility
Develop roadmaps for platform abstraction, automated migration, code conversion, and workload portability
Lead AI-assisted database transformation, including SQL code conversion, schema transformation, stored procedure remediation, compatibility analysis, and migration validation
Engineer reusable enterprise migration frameworks covering discovery, dependency mapping, schema conversion, data movement, testing, reconciliation, cutover, and post-migration validation
Establish platform abstraction patterns and standards to reduce application dependency and vendor lock-in
Provide technical leadership for SQL Server lifecycle remediation, platform consolidation, data center migrations, and strategic database adoption
Establish enterprise standards, technical acceptance criteria, quality gates, and governance for database modernization
Evaluate emerging database technologies and direct prototypes and proofs of concept
Lead engineering managers, principal engineers, architects, and senior technical specialists
Partner with engineering, infrastructure, architecture, cybersecurity, application development, and CIO organizations
Communicate architecture decisions, tradeoffs, risks, and investment needs to senior executives
Own the technical roadmap and execution to reduce migration timelines, engineering effort, platform dependency, and modernization cost

Skills

Technology Strategic Leadership

Database Engineering

Complex Database Migration

SQL Server Expertise

Automation Framework Development

Cloud-Native Architecture

Infrastructure as Code

Team Leadership

Communication Skills

AI in Database Transformation

Education

Bachelor's degree in Computer Science, Engineering, Data Science

Advanced degree preferred

Cloud Certification

Architecture Certification

Database Certification

AI Certification

Security Certification

Tools

Microsoft SQL Server

Oracle Database

PostgreSQL

MongoDB

YugabyteDB

Python

Java

PowerShell

Job description

Define the enterprise technical strategy and target-state architecture for database portability and cross-platform workload mobility
Develop roadmaps for platform abstraction, automated migration, code conversion, and workload portability
Lead AI-assisted database transformation, including SQL code conversion, schema transformation, stored procedure remediation, compatibility analysis, and migration validation
Engineer reusable enterprise migration frameworks covering discovery, dependency mapping, schema conversion, data movement, testing, reconciliation, cutover, and post-migration validation
Establish platform abstraction patterns and standards to reduce application dependency and vendor lock-in
Provide technical leadership for SQL Server lifecycle remediation, platform consolidation, data center migrations, and strategic database adoption
Establish enterprise standards, technical acceptance criteria, quality gates, and governance for database modernization
Evaluate emerging database technologies and direct prototypes and proofs of concept
Lead engineering managers, principal engineers, architects, and senior technical specialists
Partner with engineering, infrastructure, architecture, cybersecurity, application development, and CIO organizations
Communicate architecture decisions, tradeoffs, risks, and investment needs to senior executives
Own the technical roadmap and execution to reduce migration timelines, engineering effort, platform dependency, and modernization cost

Requirements

8+ years of Technology Strategic Leadership experience, or equivalent demonstrated through 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
Distinguished Engineer-level technical strategy, complex problem-solving, and enterprise influence
Deep expertise in database internals, data architecture, query processing, transaction management, schema design, performance engineering, resiliency, and data movement
Experience with multiple relational SQL, distributed SQL, 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 technical strategies and architectural tradeoffs to engineering and executive audiences
Demonstrated expertise with database platforms such as Microsoft SQL Server, Oracle Database, PostgreSQL, MongoDB, YugabyteDB, or comparable technologies
Experience with database abstraction layers, portable data-access patterns, compatibility frameworks, or cross-platform standards
Experience applying generative AI, machine learning, static code analysis, or semantic analysis to software and database transformation
Working knowledge of Python, Java, C#, Go, PowerShell, or equivalent enterprise automation languages
Experience with SQL dialect conversion, stored procedure transformation, schema conversion, and automated regression testing
Experience with container platforms, cloud-native architecture, infrastructure as code, CI/CD, and automated software delivery
Knowledge of database security, encryption, identity and access management, data protection, regulatory controls, and secure development
Experience building enterprise platforms consumed by multiple application and infrastructure organizations
Ability to convert proofs of concept into secure, resilient, supported, and scalable production capabilities
Experience developing technical talent and career pathways for senior technologists
Bachelor's degree in Computer Science, Engineering, Data Science, or related technical discipline; advanced degree preferred
Relevant cloud, architecture, database, artificial intelligence, or security certifications
Ability to work in an in-office hybrid environment
Must not require visa sponsorship
No relocation allowance is provided

Core Competencies

Demonstrates extensive expertise in database engineering, data architecture, and platform transformation, with a strong focus on leading complex migration initiatives and developing automation frameworks. Proven ability to communicate technical strategies and influence enterprise-level decisions while managing high-performing engineering teams.

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