Senior Solutions Architect, CSP

Ocient; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

Ocient is seeking a Senior Solutions Architect in Charlotte, North Carolina, to own the technical win for CSP opportunities. You will collaborate with various teams to design OcientAIQ solutions and manage customer engagements through the entire process.

The ideal candidate should have 7+ years of experience in solutions architecture and be proficient with cloud data ecosystems. The role requires strong technical leadership and the ability to conduct customer workshops effectively.

Qualifications

• 7+ years of solutions architecture or technical consulting experience.
• Hands-on integration with major cloud data or AI ecosystems.
• Experience with high-volume ingest patterns.

Responsibilities

• Lead technical strategy for CSP opportunities with Account Executives.
• Run customer discovery workshops to gather use cases.
• Design end-to-end OcientAIQ solutions.

Skills

Customer-facing solutions architecture

CSP and telecommunications experience

Hands-on experience with OLAP

Strong technical leadership

ETL / ELT and SQL

Tools

Databricks

Snowflake

AWS

Azure

Job description

Position Overview

The Senior Solutions Architect owns the technical win for assigned CSP opportunities, partnering with the customer, Account Executives, Field CTOs, Delivery, Product, and strategic partners from discovery through proof of value and production planning. You work shoulder to shoulder with Account Executives to build pipeline, qualify opportunities, prove technical value, and drive the technical close.

You will design OcientAIQ solutions across CSP use cases including cybersecurity, autonomous networks, billing and revenue assurance, lawful disclosure, and network performance. You will orchestrate joint engagements with strategic SI and technology partners and architect the integration between Ocient and the customer's existing cloud data and AI ecosystem. The economics matter: on‑prem capacity‑based economics for the heavy analytics work, with governed, business‑ready data products ready to publish to the cloud platforms customers already own.

The role is measured by technical wins, successful proof‑of‑value engagements, production readiness, and repeatable customer outcomes.

Responsibilities

• Lead technical strategy for assigned CSP opportunities, partnering with Account Executives to build pipeline, qualify opportunities, shape deal strategy, and drive the technical win.
• Run customer discovery workshops to gather use cases, data sources, data volumes, ingest rates, success criteria, performance requirements, concurrency, retention, time‑to‑queryability, and deployment modalities.
• Design end‑to‑end OcientAIQ and Telemetry as a Service solutions, including data products, governance, lineage, and integration with the customer's cloud data and AI environment.
• Advise customers on hybrid architecture and economics, balancing on‑prem capacity economics for heavy analytics with cloud consumption models for downstream AI, reporting, and application workloads.
• Orchestrate technical partner engagement on joint opportunities, defining integration points, governance handoffs, and joint solution architectures.
• Own customer specification documents covering requirements, success criteria, assumptions, risks, architecture decisions, and future roadmap. Iterate as engagements evolve.
• Partner with Delivery, Data Engineering, and Customer Solutions on schema, workload testing, pilot execution, and system sizing for pilot and production. Tune workloads with Ocient's workload optimization team for CSP‑specific data shapes.
• Create demonstrations, reference architectures, and partner co‑selling collateral with Account Executives.
• Carry field feedback into Product Management and Engineering. Help onboard and develop Solutions Engineering and Solutions Architect teammates.

Ideal Qualifications

• 7+ years of customer‑facing solutions architecture, sales engineering, field engineering, or technical consulting experience, with significant experience in CSP, telecommunications, network analytics, OSS/BSS, security analytics, or high‑volume telemetry environments.
• Deep hands‑on experience with OLAP, real‑time analytics, and data warehousing across cloud and on‑prem.
• Hands‑on integration experience with at least one major cloud data or AI ecosystem such as Databricks, Snowflake, BigQuery, Redshift, Azure, AWS, or Google Cloud, plus exposure to AI, RAG, agentic, or LLM application frameworks.
• Experience with high‑volume ingest patterns, including Kafka, file‑based ingest, object storage, streaming, batch, CDC, or similar data movement architectures.
• Familiarity with retrieval‑augmented generation, structured data products, lineage, and governance, and the trade‑offs involved when designing data layers for agentic AI.
• Strong technical leadership and business acumen. You earn trust with customer architects, partner principals, and executives in the same conversation.
• Hands‑on experience with ETL / ELT, SQL, and CSP data formats such as CDR, IPDR, IPFIX/NetFlow, ASN.1, syslog, OSS event streams, packet metadata, KPI feeds, and similar telemetry.
• Experience working alongside strategic SI or technology partners on joint customer engagements is a plus.
• Familiarity with semantic layers, ontology, knowledge graphs, or graph analytics is a plus.
• Hands‑on experience designing data products, pipelines, or knowledge structures for AI agent or LLM consumption is a plus.
• Strong writing and presentation skills for requirements documents, partner briefs, and executive narratives.
• Self‑starter with strong organizational skills across multiple concurrent opportunities.
• Willing to travel up to 50% of the time.