Job Description
Job Description
Pre‑Sales Solutions Architect – Data & AI Studio
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Location
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United States (Remote)
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Travel: up to ~25% (client meetings, workshops, events)
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Role Overview
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Bristlecone is seeking a Pre‑Sales Solutions Architect to support our Data & AI Studio , partnering closely with Sales, Client Partners, and Delivery leaders to shape, articulate, and close high‑impact data and AI engagements.
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This role sits at the intersection of business strategy, modern data platforms, and applied AI . You will lead technical discovery, solution design, and customer workshops while translating complex data and AI capabilities into clear, outcome‑driven value propositions. with an emphasis on Snowflake, Databricks, and Google BigQuery platforms and cloud‑native data architectures.
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Key Responsibilities
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Pre‑Sales & Solutioning
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\n - Serve as the primary technical partner in pre‑sales conversations across data engineering, analytics, and AI/ML use cases .
\n - Lead technical discovery sessions , whiteboarding workshops, and solution design discussions with customer stakeholders.
\n - Lead and deliver customer‑facing demos of Bristlecone’s supply chain data and AI solutions , tailoring narratives to business outcomes and leveraging Snowflake, Databricks, and Google BigQuery platforms.
\n - Translate customer business challenges into scalable, cloud‑native data and AI architectures on Snowflake, Databricks, and/or Google BigQuery.
\n - Design end‑to‑end solution approaches , including data ingestion, transformation, analytics, and AI enablement.
\n - Support RFPs, RFIs, proposals, and estimates , collaborating with Sales and Delivery teams to define scope and approach.
\n - Partner with cloud and platform vendors (Snowflake, Databricks, Google Cloud and other partners in the ecosystem) on joint pursuits and go‑to‑market activities.
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Customer Engagement & Enablement
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\n - Lead executive‑level presentations and technical deep dives for business and technology audiences.
\n - Facilitate proof‑of‑concepts (POCs) and technical demonstrations when required.
\n - Act as a trusted advisor, helping customers understand tradeoffs, architectural options, and value realization paths.
\n - Familiarity with supply chain data domains and common supply chain use cases (e.g., planning, logistics, manufacturing, inventory, order management) is a strong plus, but not required.
\n - Ensure smooth handoff from pre‑sales to delivery, maintaining continuity of vision and customer expectations.
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Internal Collaboration & Studio Development
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\n - Collaborate with the Data & AI Studio to refine offerings, accelerators, and solution patterns.
\n - Contribute to solution playbooks, reference architectures, and reusable assets .
\n - Share market insights, customer feedback, and competitive intelligence with leadership.
\n - Mentor junior architects and consultants on solutioning best practices.
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Required Qualifications
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\n - 5+ years of experience in data engineering, analytics, or AI solutions , with 2+ years in a pre‑sales, solutions engineering, or consulting role .
\n - Hands‑on experience with one or more of the following platforms:
\n - Snowflake
\n - Databricks
\n - Google BigQuery
\n - Strong understanding of modern data architectures , including cloud data warehouses, data lakes/lakehouses, and analytics platforms.
\n - Experience designing or explaining solutions involving data ingestion, transformation (ELT/ETL), analytics, and AI/ML .
\n - Ability to communicate complex technical concepts clearly to both technical and executive audiences .
\n - Proven experience supporting sales cycles , including discovery, estimation, and proposal development.
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Preferred Qualifications
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\n - Experience working with Google Cloud Platform (GCP), AWS, or Azure .
\n - Familiarity with tools such as dbt, Fivetran, Airflow, Sigma, Power BI, Tableau , or similar analytics and data engineering technologies.
\n - Exposure to AI/ML use cases , including forecasting, optimization, or applied analytics.
\n - Prior experience in management consulting or data‑focused SI firms (e.g., Snowflake‑centric or cloud‑native practices).
\n - Comfortable engaging with CxO‑level stakeholders and leading customer workshops.
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Why Bristlecone
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\n - Opportunity to shape and scale Bristlecone’s Data & AI Studio and go‑to‑market strategy.
\n - Opportunity to work closely with supply chain SMEs and complex, real‑world use cases to solve meaningful business problems and deliver measurable value .
\n - Work across Snowflake, Databricks, and Google Cloud in real‑world enterprise environments.
\n - High‑visibility role influencing deals, offerings, and customer outcomes.
\n - Collaboration with senior leaders, partners, and innovative customers solving complex data and supply‑chain‑driven problems.
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Job Tags
Remote work