Legacy Modernization Data Architecture Lead

Deloitte • Tampa, FL

16h • $122,000 - $240,500

About The Position

Deloitte is hiring a Legacy Modernization Data Architecture Lead for its AI & Engineering team. The team transforms technology platforms and modernizes technology and data systems to help clients improve financial performance, accelerate digital ventures, and drive growth. Engineering as a Service delivers design, implementation, and technology operations through flexible engineering-led delivery models.

This is a hands-on technical leadership role involving the design, development, and delivery of scalable software systems and data solutions. The successful candidate will bring legacy data migration expertise, including the ability to interpret mainframe file layouts and DB2 schemas, and to build Python and SQL loads and reconciliations for modern platforms. The role also encompasses full-stack and agentic AI solutions, guiding distributed engineering teams, mentoring engineers, and collaborating with product managers, designers, and other stakeholders.

The position may involve travel of up to 50%, depending on the work and clients served. Limited immigration sponsorship may be available. The stated salary range is $122,000 to $240,500, with possible eligibility for a discretionary annual incentive program.

Requirements

• At least 7 years of data migration experience on commercial legacy modernization projects.
• At least 7 years of experience with COBOL Copybooks and file layouts.
• At least 7 years of hands-on expert-level experience with IBM DB2/VSAM.
• Expert-level SQL skills.
• At least 5 years of hands-on Python data engineering experience.
• At least 5 years of hands-on experience with ETL tools.
• AWS certifications.
• Strong experience in Java and Spring-based application development.
• Experience with microservices, APIs, messaging, and event-driven architectures.
• Working knowledge of AWS and/or GCP cloud services.
• Experience with Docker, Kubernetes, Terraform, and CI/CD tooling.
• Experience with SQL and NoSQL data stores.
• Strong communication, collaboration, and problem-solving skills, with the ability to work independently in a player-coach or technical lead capacity.
• Demonstrated ability to technically lead or manage delivery teams, including communication cadences and quality assurance across time zones.
• Experience delivering software using multiple SDLC methodologies, such as Agile, SAFe, Kanban, or waterfall-agile hybrid.
• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience.
• Ability to travel up to 50%, depending on the work and clients served.

Nice To Haves

• Experience with event-driven architectures and messaging systems such as Kafka, RabbitMQ, or SQS.
• Financial services industry experience, such as banking or insurance.
• Contributions to open-source projects or a demonstrated personal portfolio.
• Experience with observability, security, and code quality tools.
• Experience with machine learning pipelines or data engineering workflows.
• Professional experience designing and delivering solutions incorporating LLMs and/or agentic AI architectures.
• Knowledge of security best practices, including OWASP guidelines and secure coding standards.
• Prior experience as a tech lead or staff engineer.
• Industry-recognized technology certifications.

Responsibilities

• Architect, design, and implement scalable, reliable, and maintainable full-stack software systems and services.
• Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure, including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
• Lead delivery of complex features from requirements gathering through deployment and monitoring.
• Architect and deliver production-grade agentic AI and multi-agent applications, including orchestrator-agent hierarchies, RAG pipelines, tool-calling agents, and context and memory management.
• Conduct code reviews, enforce coding standards, and promote engineering best practices.
• Mentor and guide junior and mid-level engineers.
• Collaborate with Product, Design, DevOps, QA, and other cross-functional teams.
• Identify technical debt and lead refactoring and improvement initiatives.
• Participate in system design discussions, architecture reviews, and technical planning.
• Troubleshoot and resolve production performance, scalability, and reliability issues.
• Provide technical leadership and coordinate delivery teams, communication cadences, and quality assurance across time zones.

Benefits

• Broad range of employee benefits.
• Opportunities for on-the-job learning and formal development programs.
• Mentorship and opportunities to build skills and take on leadership opportunities.
• Possible eligibility for a discretionary annual incentive program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior