Customer Solutions Architect

You will operate within a POD, a small cross-functional group of sales, presales, and customer success professionals aligned to a defined group of accounts or market segment. As the primary technical voice in the POD, you will partner closely with the Sales Lead on commercial priorities and with customer stakeholders ranging from architects and data teams to senior executives.

Report directly to the CSA Team Lead for the assigned territory or region, with a dotted-line relationship to the POD Sales Lead.

Collaborate with Enterprise CSAs and account teams to ensure a structured handover following a successful growth pursuit.

Work across APJ with Sales, Customer Success, Services, Partners, Product, Engineering, and the wider worldwide Field Technology organization.

At least eight years of experience in presales, solution architecture, or technical sales, including ownership of competitive new logo or growth sales cycles.

A record of delivering proof-of-concepts, winning technical evaluations, and contributing to closed enterprise data platform opportunities.

Hands-on experience with at least one major cloud provider, AWS, Microsoft Azure, or Google Cloud, plus practical SQL and Python skills for live customer environments.

Experience sizing enterprise data platforms using workload characteristics such as data volume, query concurrency, performance targets, and deployment constraints.

A degree in computer science, software engineering, mathematics, data science, or a related discipline, or equivalent professional experience.

Growth or hunter experience in one or more APJ markets, including Australia, Japan, ASEAN, Korea, or Taiwan.

Strong knowledge of modern data platform architecture, including parallel processing, lakehouse patterns, streaming ingestion, hybrid cloud, and query performance benchmarking.

Working knowledge of Teradata compute architecture, including Compute Engine and Elastic Compute, and the ability to position workload scaling and resource separation during technical evaluations.

Knowledge of retrieval-augmented generation architecture, embedding models, vector stores, similarity search, and how these capabilities support enterprise large language model workflows.

Experience using AI Studio or a comparable platform in a customer demonstration or proof-of-concept, with the ability to position an Enterprise Vector Store against specific use cases.

Understanding enterprise opportunity qualification, technical scoping, solution configuration, partner ecosystems, licensing, consumption models, quoting, and commercial scoping.

Confident communication with technical specialists and senior executives, supported by clear architecture proposals, proof-of-concept summaries, and RFP responses.

A precise, credible approach to competitive positioning, without overstatement, and the ability to translate technical evidence into business value.

Industry knowledge in financial services, retail and consumer goods, public sector, or manufacturing and supply chain, including relevant procurement, regulatory, sovereignty, analytics, and architecture considerations in APJ.

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