Senior Data Architect

lent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
10+ years of hands-on experience in solution design, technology transformation, OSS transformation, and system rationalization.
10+ years of experience working in the Telecom Industry as a Solution Architect, specifically within the OSS/BSS domain.
5+ years of experience in design team leadership.
Prior experience working with large-scale digital transformation programs in telecom.
Exposure to cloud data platforms (Azure, AWS, or GCP).
Experience with enterprise integration patterns, event-driven architectures, and API frameworks.
Certifications in data architecture, cloud technologies, or telecom frameworks (e.g., TM Forum certifications).
Knowledge of telecom industry, relevant technical architecture, and industry standards•
Basic understanding of Cloud concepts, Microservices, K8s/Docker
Proven experience in creating working solutions addressing customer requirements in OSS/Service Fulfilment/ Service Assurance
Strong knowledge of TM Forum frameworks, MEF standards, SID, and core telecom processes such as service provisioning, service assurance, order management, and operations management.
Strong understanding of telecom architectures and industry standards
Proven experience leading design teams, making architecture decisions, and guiding technical delivery.
Ability to translate business challenges into scalable, maintainable, and high-performance data solutions.
Demonstrated experience designing end-to-end solutions in OSS, Service Fulfillment, and Service Assurance domains.
Experience addressing complex customer requirements and delivering work, production-grade solutions.
Basic understanding of cloud concepts, microservices architecture, and containerization using Kubernetes (K8s) and Docker.
Familiarity with data modeling, data integration, data governance frameworks, and modern data platform concepts.
Strong ability to visualize the big picture while architecting technical solutions.
Excellent communication skills to articulate technical concepts to both technical and non-technical stakeholders.

Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

Preferred Qualifications:
Ensure the integrity, security, availability, reliability, and usability of data across the enterprise to support operational, analytical, and strategic need
Work closely with business stakeholders, data engineers, data scientists, architects, and cross-functional IT teams to design scalable and robust data landscapes aligned with enterprise strategy
Collaborate with leading industry experts to develop innovative, high-quality, and defect-free data solutions that align with client requirements and business objectives
Foster a culture of knowledge sharing, continuous learning, innovation, and collaboration within the data and technology teams. Encourage best practices and uphold organizational values of diversity and inclusion

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits :-
Medical/Dental/Vision/Life Insurance
Long-term/Short-term Disability
Health and Dependent Care Reimbursement Accounts
Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
401(k) plan and contributions dependent on salary level
Paid holidays plus Paid Time Off

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements