Senior Data Architect; Telecom/OEM Specialist
Listed on 2026-02-16
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IT/Tech
Data Engineer, Systems Engineer
Overview
Position:
Senior Data Architect (Telecom / OEM Specialist)
Department:
Enterprise Architecture & Data Solutions
Location:
Hybrid – Basking Ridge, NJ / Richardson, TX (3 days onsite)
Type: 12+ Month Contract
Reports To:
Director of Enterprise Architecture
Travel:
Up to 10% (for client workshops and integration reviews)
- Stage 1:
Funto Network Technical Screen – 60-minute video call with our internal architect. - Stage 2:
Client Technical / Team Interview – 60-90 minute deep-dive with the client s technical team. - Stage 3:
Client Leadership Interview – 45-60 minute strategic fit interview with client leadership.
Funto Network partners with leading global enterprises to design and implement transformative data and architecture solutions. In the telecommunications sector, we enable our clients to harness data intelligence, modernize OSS/BSS ecosystems, and embed AI-driven insights into their operational fabric. Our architects dont just design systems—we build the scalable, secure, and innovative data backbones that power tomorrows connected world.
Position OverviewWe are seeking an accomplished Senior Data Architect with deep telecommunications expertise and direct OEM-side development experience (Nokia, Samsung, Ericsson, Ciena, Cisco, etc.). This role will design and oversee enterprise-grade data architectures, with a special focus on data pipeline optimization, embedded analytics, and AI integration within telecom OSS/BSS environments. The ideal candidate will possess strong leadership experience, hands-on familiarity with CPU-level data/analytics threading, and a proven ability to translate complex business requirements into robust, scalable data solutions.
Key Responsibilities- Architecture Leadership:
Design end-to-end data solutions for telecom OSS/Service Fulfillment/Service Assurance domains, ensuring integrity, security, availability, and scalability. - OEM & Embedded Systems Focus:
Leverage hands-on OEM development experience to architect data pipelines, analytics layers, and AI-embedded solutions optimized for telecom hardware and software ecosystems. - Data & AI Strategy:
Collaborate with business stakeholders, data engineers, and data scientists to build future-proof data landscapes that support operational, analytical, and AI/ML-driven initiatives. - Cloud & Modern Data Platforms:
Design and migrate solutions to cloud data platforms (Azure/AWS/GCP), incorporating microservices, containerization (K8s/Docker), and event-driven architectures. - Standards & Governance:
Apply strong knowledge of TM Forum frameworks, MEF standards, and SID models to ensure industry compliance and interoperability. - Team Guidance & Mentorship:
Lead design teams, make critical architecture decisions, and foster a culture of continuous learning, innovation, and collaborative problem-solving. - Solution Delivery:
Translate complex customer requirements into production-grade, high-performance data solutions within large-scale digital transformation programs.
- Experience:
10+ years in solution design, technology transformation, and OSS/BSS architecture within the telecom industry. - OEM Development Background:
Must have direct development experience from an OEM environment (Nokia, Samsung, Ericsson, Ciena, Cisco, or similar). - Technical Expertise:
- Data pipeline architecture & embedded analytics/AI integration
- Understanding of CPU-level data/analytics threading and optimization
- Cloud data platforms (Azure, AWS, or GCP)
- Enterprise integration patterns, API frameworks, and event-driven architectures
- Microservices, K8s/Docker, and modern data platform concepts
- Telecom Knowledge:
Strong familiarity with TM Forum frameworks, MEF standards, SID, and core telecom processes (provisioning, assurance, order management). - Leadership: 5+ years leading design teams and guiding technical delivery.
- Communication:
Excellent ability to articulate technical concepts to both technical and non-technical stakeholders. - Education:
Bachelors degree required;
Masters in Telecom Engineering preferred.
- Certifications in data architecture, cloud technologies, or telecom…
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