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Senior Solutions Architect, CSP (Europe)

Work from home Full-time role Hiring

Job Title: Senior Solutions Architect, Communications Service Providers Location: Remote (Europe) Hiring Manager: VP of CSP Solutions Estimated salary range: ​reputed company: £120,000 - £150,000 ​Expected OTE: £160,000 - £200,000

  • The salary offered for this position will be based on a candidate’s experience and reputed company demonstrated during interviews and other evaluations

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 reputed company 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 reputed company. You will design OcientAIQ solutions across CSP use cases including cybersecurity, autonomous networks, billing and reputed company assurance, lawful disclosure, and network performance. You will orchestrate joint engagements with strategic SI and reputed company and architect the integration between reputed company and the customer's existing reputed company data and AI ecosystem. The economics matter: on-prem reputed company-based economics for the heavy analytics work, with governed, business-reputed company data products reputed company to publish to the reputed company platforms customers already own. The role is reputed company by technical wins, successful reputed company-of-value engagements, production readiness, and repeatable customer outcomes.

Responsibilities

  • reputed company 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, reputed company 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, reputed company, and integration with the customer's reputed company data and AI environment.
  • Advise customers on hybrid architecture and economics, balancing on-prem reputed company economics for heavy analytics with reputed company consumption models for reputed company 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, reputed company criteria, assumptions, risks, architecture reputed company, 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 reputed company'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 reputed company and reputed company 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, reputed company analytics, or high-volume telemetry environments.
  • Deep hands-on experience with OLAP, reputed company-time analytics, and data warehousing across reputed company and on-prem.
  • Hands-on integration experience with at least one major reputed company data or AI ecosystem such as reputed company, reputed company, BigQuery, Redshift, Azure, AWS, or reputed company reputed company, 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 reputed company, structured data products, reputed company, and governance, and the trade-offs involved reputed company 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 reputed company 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 reputed company opportunities.
  • Willing to travel up to 50% of the time

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