Data Migration Architect

Infosys

2d•$112,725 - $146,543

About The Position

The Data Migration Architect will own the technical architecture for migrating legacy OSS/network data into NTAS. The role covers source-system assessment, canonical and target data modeling, source-to-target mappings, transformation rules, ETL design, migration sequencing, reconciliation, performance, cutover, and production validation. The architect should be able to trace data end to end from legacy OSS through extraction, staging, transformation, data quality, NTAS loading, reconciliation, and downstream validation. As an Architecture Consultant 3 in Infosys Engineering, the role also involves gathering requirements from client stakeholders, developing and reviewing solution architectures, assessing technology options, guiding integrations, resolving technical challenges, and supporting successful project execution. The architect contributes architectural insights to proposals and RFPs, identifies system risks and optimization opportunities, maintains a knowledge base, and builds productive relationships with clients and internal teams. The position may require relocation and/or travel to the work or project location. Candidates must be authorized to work in the United States without employer-based visa sponsorship; Infosys cannot provide immigration sponsorship for this role.

Requirements

Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of each year of education.
Technical architecture experience covering migration of legacy OSS/network data into NTAS.
Capability to trace data end to end across extraction, staging, transformation, data quality, NTAS loading, reconciliation, and downstream validation.
Candidates must be authorized to work for any employer in the United States without employer-based visa sponsorship; Infosys is unable to provide immigration sponsorship for this role now or in the future.
The position may require relocation and/or travel to the work or project location.

Nice To Haves

NTAS or network inventory experience.
Telecom OSS experience.
Migration architecture experience.
Source-to-target mapping experience.
Data modeling experience.
SQL or PL/SQL experience.
Database experience.
ETL/ELT experience.
Python or scripting experience.
Data quality experience.
Reconciliation experience.
Expertise in designing and reviewing solution architectures aligned with business goals.
Ability to provide architectural insights for solution proposals and delivery.
Strategic mindset for aligning technical solutions with business goals and market trends.
Ability to engage with clients and internal teams to build strong working relationships.
Passion for mentoring and fostering knowledge sharing.

Responsibilities

Create business requirement documents covering functional and non-functional requirements based on workshops and interviews with client stakeholders.
Review, propose, and develop solution architecture that aligns application design with the proposed framework and supports scalability, reliability, and maintainability.
Assess and recommend technologies, tools, and platforms for implementation to meet business requirements.
Review technical solutions and develop integration strategies across technologies and systems to support seamless communication and data flow.
Resolve complex technical challenges during build, deployment, and support, while promoting reusable frameworks and artifacts.
Provide specialized insights to development teams and build collaborative relationships with clients and internal teams to support successful project execution.
Identify potential risks in the system landscape, monitor system performance, and suggest optimization initiatives aligned with business requirements and long-term objectives.
Establish and maintain a comprehensive knowledge base so important information is systematically recorded and available.
Contribute architectural insights to proposals and RFPs.
Own the technical architecture for migrating legacy OSS/network data into NTAS, including source-system assessment, data modeling, source-to-target mappings, transformation rules, ETL design, migration sequencing, reconciliation, performance, cutover, and production validation.
Trace data end to end from legacy OSS through extraction, staging, transformation, data quality, NTAS loading, reconciliation, and downstream validation.
Proactively drive initiatives to support smooth project execution and transition.
Mentor others and foster a knowledge-sharing culture.