Solution Architect (Data Platform, Integration & AI-Enabled Operational Intelligence)

Solution Architect

6+ Month

Remote

Need ID Copy and LinkedIn

Need good communication skills.

JOB DESCRIPTION

About the Role

We are seeking a Solution Architect to own end-to-end architecture for programs that turn operational data into explainable, actionable insight — designing how telemetry, logs, and incident data are ingested, normalized, correlated, and surfaced, then leading a multi-disciplinary team through delivery. Enterprise networking experience is a strong plus, as many of these programs draw on network and telecom data.

Responsibilities

• Own end-to-end solution architecture — reference architectures, integration designs, data flows, and decision records that translate business objectives into buildable design.
• Define non-functional requirements (availability, scalability, latency, retention, cost) and design modular, vendor-agnostic solutions that avoid lock-in.
• Architect the data platform — connector and normalization layers, lakehouse/medallion design, streaming and batch pipelines, data quality, and governance.
• Design the analytics and AI layer — policy engines, anomaly detection, correlation, forecasting, and RAG/LLM patterns — with explainability, auditability, and human-in-the-loop approval built in.
• Embed security and compliance — SSO/federation (SAML, OIDC), RBAC, encryption, data residency, and readiness for enterprise security review.
• Lead delivery technically — discovery workshops, design reviews, technical risk management, and mentoring across data, backend, ML, and frontend teams.
• Support pre-sales and scoping — solution shaping, effort and cost estimation, scope definition, and executive-level presentations.

Required Qualifications

• 8+ years in technology delivery, including 3+ as a solution architect, technical architect, or principal engineer.
• Proven end-to-end solution design integrating multiple source systems, a data platform, analytics logic, and a user-facing application.
• Strong data architecture skills — lakehouse or warehouse design, ETL/ELT, streaming ingestion, data modeling, and governance.
• Practical familiarity with AI/ML in an operational context — anomaly detection, correlation, forecasting, and LLM/RAG patterns.
• Cloud architecture experience (Azure and/or AWS) plus integration expertise — REST APIs, event streaming, connector frameworks.
• Security architecture competence — identity federation, RBAC, encryption, segmentation.
• Strong communication and client-facing presence with both engineers and executive stakeholders.
• Bachelor’s degree in a technical field or equivalent practical experience.

Preferred — Networking Experience a Strong Plus

• Enterprise networking background — routing and switching, data center, WAN/SD-WAN, QoS, or hybrid cloud connectivity.
• Network and telecom telemetry — NetFlow, SNMP, syslog, topology modeling, or UC (SIP, RTP, WebRTC, CDR/QoS).
• Lakehouse and observability platforms — Databricks, Snowflake, Microsoft Fabric, Splunk, Elastic, or Grafana; Kubernetes and infrastructure-as-code; coding in Python or SQL.
• AIOps or IT operations analytics, and ITSM integration including incident, change, and CMDB data models.
• Consulting background and experience in regulated industries (financial services, healthcare, government).
• Certifications: TOGAF, Azure/AWS architect, Databricks, CCNP/CCIE, or equivalent.