Legacy Modernization Data Architecture Lead

Position Summary
Legacy Modernization Data Architect Lead
Software Engineer III- AI & Engineering/Engineering as a Service
Join our AI & Engineering team transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Work You’ll Do
You are a hands-on technical leader who designs, builds and ships scalable software systems while mentoring junior engineers and driving technical best practices across the organization. You will architect full-stack and agentic AI solutions, guide distributed engineering teams, and engage with product managers, designers, and stakeholders to deliver high-impact solutions.
You will be an experienced Data Engineer who is comfortable on both sides – reads mainframe file layouts, DB2 schemas and builds Python/SQL loads and reconciliations on the modern side.
A successful candidate would possess these skills:
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Key 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 (AWS, Azure, or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring.
Architect and deliver production-grade agentic AI and multi-agent applications using popular frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel; design patterns including orchestrator-agent hierarchies, RAG pipelines, tool-calling agents, and context/memory management.
Conduct thorough code reviews, enforce coding standards, and champion engineering best practices.
Mentor and guide junior and mid-level engineers, fostering a culture of continuous learning and improvement.
Collaborate with cross-functional teams including Product, Design, DevOps, and QA to deliver high-quality software.
Identify technical debt and proactively drive refactoring and improvement initiatives.
Participate in system design discussions, architecture reviews, and technical planning sessions.
Troubleshoot and resolve complex performance, scalability, and reliability issues in production systems.
Qualifications
7+ years of Data Migration experience working specifically on commercial legacy modernization projects.
7+ years’ experience with COBOL Copybooks and File Layouts.
7+ years’ hands-on expert level with IBM DB2/VSAM.
SQL – expert level skills
5+ years’ hands on Python Data Engineering
5+ years’ 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.

Skills
Python, Java, REST API, Microservices, AWS, Azure, GCP, CI/CD, SQL, ETL

Experience
7+ yrs