
Solutions Architect, CSP
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Assist in developing the technical strategy for designated CSP opportunities in collaboration with Account Executives and Senior Solution Architects.
• Aid in building a sales pipeline and qualifying leads.
• Engage in customer discovery workshops and facilitate discussions.
• Collect information on use cases, data sources, data volumes, ingestion rates, success metrics, performance needs, concurrency, retention, time-to-queryability, and deployment methods.
• Assess customer requirements and determine the most suitable OcientAIQ solutions.
• Recognize patterns that can evolve into standardized offerings.
• Create comprehensive OcientAIQ and Telemetry as a Service solutions, integrating with customers' cloud data and AI ecosystems, under senior supervision.
• Utilize concepts of hybrid architecture and economics.
• Support technical partner relationships and document integration points along with joint solution frameworks.
• Contribute to the creation of customer specification documents that include requirements, success metrics, assumptions, risks, and architectural decisions.
• Collaborate with Delivery, Data Engineering, and Customer Solutions teams on schema, workload testing, and pilot implementations.
• Assist in developing demonstrations, reference architectures, and partner co-selling materials.
• Provide field feedback to Product Management and Engineering teams.
• Facilitate technical successes from initial discovery through proof of value and production planning.
• 1-3 years of experience in customer-facing roles such as solutions architecture, sales engineering, field engineering, or technical consulting.
• Familiarity with CSP, telecommunications, network analytics, OSS/BSS, security analytics, or high-volume telemetry environments is advantageous.
• Practical knowledge of OLAP, real-time analytics, or data warehousing concepts, both in cloud and on-premises environments.
• Experience with at least one major cloud data or AI ecosystem such as Databricks, Snowflake, BigQuery, Redshift, Azure, AWS, or Google Cloud.
• Understanding of high-volume ingestion patterns, including Kafka, file-based ingestion, object storage, streaming, batch, CDC, or similar data movement methodologies.
• Basic knowledge of retrieval-augmented generation, structured data products, or data governance concepts is a plus.
• Proficiency in SQL and general ETL/ELT principles.
• Familiarity with CSP data formats like CDR, IPDR, IPFIX/NetFlow, ASN.1, syslog, OSS event streams, packet metadata, or KPI feeds is beneficial.
• Interest in developing knowledge in semantic layers, ontology, knowledge graphs, or graph analytics.
• Excellent communication abilities.
• Strong writing and presentation capabilities.
• Exceptional organizational skills and a willingness to learn across multiple concurrent projects.
• Availability to travel up to 25-35% of the time.
• Must reside in the United States.
• Must be eligible to work without visa sponsorship or transfer; Ocient is unable to sponsor or transfer visas now or in the future.
• Candidates are required to have their camera on during video interviews; video filters, face-altering effects, and virtual backgrounds are prohibited.
• Remote-first work environment.
• Up to 25-35% travel to customer locations, partner workshops, and Ocient offices as necessary.
• Mentorship and support from Senior Solutions Architects.
• Commitment to equal employment opportunities.
• Provision of religious accommodations and reasonable disability accommodations during the application process.
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